Triple
T21634157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivarium |
E533910
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Garret Shanley
Garret Shanley is a screenwriter best known for co-writing the surreal science-fiction horror film "Vivarium."
|
E1493953
|
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: Garret Shanley | Statement: [Vivarium, writer, Garret Shanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garret Shanley Context triple: [Vivarium, writer, Garret Shanley]
-
A.
Brian Shanley
Brian Shanley is a cinematographer best known for his work on the 2009 film adaptation of "The Velveteen Rabbit."
-
B.
Michael Yeargan
Michael Yeargan is an American scenic designer renowned for his work in opera and theatre, including major productions at leading companies such as the Metropolitan Opera and Broadway.
-
C.
Gavin O’Connor
Gavin O’Connor is an American filmmaker and producer best known for directing character-driven dramas such as "Warrior" and "The Way Back."
-
D.
Brian Reitzell
Brian Reitzell is an American composer, producer, and former drummer best known for his atmospheric film and television scores and collaborations with directors like Sofia Coppola.
-
E.
Joe Higgins
Joe Higgins was an American character actor known for his roles in television series and commercials during the 1960s and 1970s.
- 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: Garret Shanley Triple: [Vivarium, writer, Garret Shanley]
Generated description
Garret Shanley is a screenwriter best known for co-writing the surreal science-fiction horror film "Vivarium."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Garret Shanley Target entity description: Garret Shanley is a screenwriter best known for co-writing the surreal science-fiction horror film "Vivarium."
-
A.
Brian Shanley
Brian Shanley is a cinematographer best known for his work on the 2009 film adaptation of "The Velveteen Rabbit."
-
B.
Michael Yeargan
Michael Yeargan is an American scenic designer renowned for his work in opera and theatre, including major productions at leading companies such as the Metropolitan Opera and Broadway.
-
C.
Gavin O’Connor
Gavin O’Connor is an American filmmaker and producer best known for directing character-driven dramas such as "Warrior" and "The Way Back."
-
D.
Brian Reitzell
Brian Reitzell is an American composer, producer, and former drummer best known for his atmospheric film and television scores and collaborations with directors like Sofia Coppola.
-
E.
Joe Higgins
Joe Higgins was an American character actor known for his roles in television series and commercials during the 1960s and 1970s.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52192e388190a3f316e33f452561 |
completed | April 27, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f9bc2f481908ed5ba8292adf47f |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a105ec6a08190a7b6d89068e4e369 |
completed | May 17, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a113606f8819093b398915a291fa1 |
completed | May 17, 2026, 7:04 p.m. |
Created at: April 16, 2026, 6:35 p.m.