Triple
T15991074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizzie Borden Took an Ax |
E387825
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Nick Gomez
Nick Gomez is an American film and television director known for his work on gritty dramas and crime series.
|
E1187252
|
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: Nick Gomez | Statement: [Lizzie Borden Took an Ax, director, Nick Gomez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Gomez Context triple: [Lizzie Borden Took an Ax, director, Nick Gomez]
-
A.
Eric Gomez
Eric Gomez is a prominent boxing executive best known as a top matchmaker and president of Golden Boy Promotions, where he oversees major fight negotiations and talent development.
-
B.
Edward Gomez
Edward Gomez is a Gambian lawyer and politician who has served as the country's Attorney General.
-
C.
Ian Gomez
Ian Gomez is an American character actor best known for his comedic supporting roles on television series such as "Felicity" and "Cougar Town."
-
D.
Aidan N. Gomez
Aidan N. Gomez is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
-
E.
Rick Gomez
Rick Gomez is an American actor best known for his role as radio operator George Luz in the HBO miniseries "Band of Brothers."
- 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: Nick Gomez Triple: [Lizzie Borden Took an Ax, director, Nick Gomez]
Generated description
Nick Gomez is an American film and television director known for his work on gritty dramas and crime series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Gomez Target entity description: Nick Gomez is an American film and television director known for his work on gritty dramas and crime series.
-
A.
Eric Gomez
Eric Gomez is a prominent boxing executive best known as a top matchmaker and president of Golden Boy Promotions, where he oversees major fight negotiations and talent development.
-
B.
Edward Gomez
Edward Gomez is a Gambian lawyer and politician who has served as the country's Attorney General.
-
C.
Ian Gomez
Ian Gomez is an American character actor best known for his comedic supporting roles on television series such as "Felicity" and "Cougar Town."
-
D.
Aidan N. Gomez
Aidan N. Gomez is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
-
E.
Rick Gomez
Rick Gomez is an American actor best known for his role as radio operator George Luz in the HBO miniseries "Band of Brothers."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157835cac81909e979f9be281f328 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d3ef2881909213ff608192f1ef |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc47bce748190a651fff307aad88d |
completed | May 9, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4e14e1881909210a78426546e88 |
completed | May 9, 2026, 11:36 p.m. |
Created at: April 10, 2026, 4:54 a.m.