Triple
T21450217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason's Lyric |
E529187
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Paul Trejo
Paul Trejo is a film editor known for his work on the 1994 romantic drama film "Jason's Lyric."
|
E1485614
|
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: Paul Trejo | Statement: [Jason's Lyric, editedBy, Paul Trejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Trejo Context triple: [Jason's Lyric, editedBy, Paul Trejo]
-
A.
Danny Trejo
Danny Trejo is an American character actor known for his tough-guy roles in action and crime films, often portraying hardened criminals or antiheroes.
-
B.
Gilbert Trejo
Gilbert Trejo is an American filmmaker and actor, known as the son of character actor Danny Trejo and for directing and appearing in independent film projects.
-
C.
Antonio Fargas
Antonio Fargas is an American character actor best known for his flamboyant and comedic roles in 1970s blaxploitation films and the TV series "Starsky & Hutch."
-
D.
Pedro de Montoya
Pedro de Montoya was a Spanish Franciscan missionary and linguist known for his influential early 17th-century Guaraní grammar and dictionary in colonial Paraguay.
-
E.
Erik Estrada
Erik Estrada is an American actor best known for his role as Officer Frank Poncherello on the television series "CHiPs."
- 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: Paul Trejo Triple: [Jason's Lyric, editedBy, Paul Trejo]
Generated description
Paul Trejo is a film editor known for his work on the 1994 romantic drama film "Jason's Lyric."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paul Trejo Target entity description: Paul Trejo is a film editor known for his work on the 1994 romantic drama film "Jason's Lyric."
-
A.
Danny Trejo
Danny Trejo is an American character actor known for his tough-guy roles in action and crime films, often portraying hardened criminals or antiheroes.
-
B.
Gilbert Trejo
Gilbert Trejo is an American filmmaker and actor, known as the son of character actor Danny Trejo and for directing and appearing in independent film projects.
-
C.
Antonio Fargas
Antonio Fargas is an American character actor best known for his flamboyant and comedic roles in 1970s blaxploitation films and the TV series "Starsky & Hutch."
-
D.
Pedro de Montoya
Pedro de Montoya was a Spanish Franciscan missionary and linguist known for his influential early 17th-century Guaraní grammar and dictionary in colonial Paraguay.
-
E.
Erik Estrada
Erik Estrada is an American actor best known for his role as Officer Frank Poncherello on the television series "CHiPs."
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d281c0819080c3f8a58947a115 |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c90a182c8190881279e88394ff97 |
completed | May 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_6a09c9c2fbf081909f740049184552f0 |
completed | May 17, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09cbae96a8819095c7e916fb93d65e |
completed | May 17, 2026, 2:07 p.m. |
Created at: April 16, 2026, 6:06 p.m.