Triple
T10211529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rooster Bar |
E242339
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Todd Lucero
Todd Lucero is a central figure in John Grisham’s legal thriller "The Rooster Bar," around whom much of the novel’s plot and character dynamics revolve.
|
E850165
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Todd Lucero | Statement: [The Rooster Bar, mainCharacter, Todd Lucero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Lucero Context triple: [The Rooster Bar, mainCharacter, Todd Lucero]
-
A.
Daniel Lugo
Daniel Lugo is the ambitious, bodybuilding ringleader of the criminal scheme at the center of the dark comedy crime film "Pain & Gain."
-
B.
Mike Elizondo
Mike Elizondo is an American producer, songwriter, and multi-instrumentalist known for his work across hip-hop, pop, and rock with artists such as Dr. Dre, Eminem, and Fiona Apple.
-
C.
Rob Echeverria
Rob Echeverria is a guitarist best known for his work with the New York metal band Helmet.
-
D.
Miles Ocampo
Miles Ocampo is a Filipino actress, model, and television host known for her work in Philippine film and TV, including long-running variety and drama programs.
-
E.
Mark Vicente
Mark Vicente is a cinematographer and filmmaker best known for his work on the documentary "What the Bleep Do We Know!?" and his involvement in the NXIVM organization.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Todd Lucero Triple: [The Rooster Bar, mainCharacter, Todd Lucero]
Generated description
Todd Lucero is a central figure in John Grisham’s legal thriller "The Rooster Bar," around whom much of the novel’s plot and character dynamics revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Todd Lucero Target entity description: Todd Lucero is a central figure in John Grisham’s legal thriller "The Rooster Bar," around whom much of the novel’s plot and character dynamics revolve.
-
A.
Daniel Lugo
Daniel Lugo is the ambitious, bodybuilding ringleader of the criminal scheme at the center of the dark comedy crime film "Pain & Gain."
-
B.
Mike Elizondo
Mike Elizondo is an American producer, songwriter, and multi-instrumentalist known for his work across hip-hop, pop, and rock with artists such as Dr. Dre, Eminem, and Fiona Apple.
-
C.
Rob Echeverria
Rob Echeverria is a guitarist best known for his work with the New York metal band Helmet.
-
D.
Miles Ocampo
Miles Ocampo is a Filipino actress, model, and television host known for her work in Philippine film and TV, including long-running variety and drama programs.
-
E.
Mark Vicente
Mark Vicente is a cinematographer and filmmaker best known for his work on the documentary "What the Bleep Do We Know!?" and his involvement in the NXIVM organization.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652d8088c819084040883f2ab9dc6 |
completed | April 8, 2026, 1:06 p.m. |
| NEDg | Description generation | batch_69d656a847fc8190af1f3e131e4200b3 |
completed | April 8, 2026, 1:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6570d98f881909b9591f9d953eb35 |
completed | April 8, 2026, 1:24 p.m. |
Created at: April 6, 2026, 11:01 a.m.