Triple
T8539885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Gaghan |
E202168
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Miller Gaghan
Miller Gaghan is a child of American screenwriter and director Stephen Gaghan, known for films such as "Traffic" and "Syriana."
|
E744977
|
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: Miller Gaghan | Statement: [Stephen Gaghan, hasChild, Miller Gaghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miller Gaghan Context triple: [Stephen Gaghan, hasChild, Miller Gaghan]
-
A.
Stephen Gaghan
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
-
B.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
-
C.
Tuesday Gaghan
Tuesday Gaghan is a child of American screenwriter and director Stephen Gaghan.
-
D.
Paul Weitz
Paul Weitz is an American filmmaker, screenwriter, and producer known for co-directing "American Pie" and directing films such as "About a Boy" and "In Good Company."
-
E.
Barron Gaghan
Barron Gaghan is the child of American screenwriter and director Stephen Gaghan, known for films such as "Traffic" and "Syriana."
- 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: Miller Gaghan Triple: [Stephen Gaghan, hasChild, Miller Gaghan]
Generated description
Miller Gaghan is a child of American screenwriter and director Stephen Gaghan, known for films such as "Traffic" and "Syriana."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miller Gaghan Target entity description: Miller Gaghan is a child of American screenwriter and director Stephen Gaghan, known for films such as "Traffic" and "Syriana."
-
A.
Stephen Gaghan
Stephen Gaghan is an American screenwriter and director best known for his politically charged, multi-narrative films such as "Traffic" and "Syriana."
-
B.
Gregory Mottola
Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
-
C.
Tuesday Gaghan
Tuesday Gaghan is a child of American screenwriter and director Stephen Gaghan.
-
D.
Paul Weitz
Paul Weitz is an American filmmaker, screenwriter, and producer known for co-directing "American Pie" and directing films such as "About a Boy" and "In Good Company."
-
E.
Barron Gaghan
Barron Gaghan is the child of American screenwriter and director Stephen Gaghan, known for films such as "Traffic" and "Syriana."
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6dfb2bc8190a41e32eca3c824c2 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea86036a881909cd1744cdb5b7a7f |
completed | April 2, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69cea9cff1ec8190a0093fb42782341e |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa9f7f8c8190965e86880ff141d5 |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:18 p.m.