Triple
T8539883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Gaghan |
E202168
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Betsy Gaghan
Betsy Gaghan is the daughter of American screenwriter and director Stephen Gaghan.
|
E783109
|
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: Betsy Gaghan | Statement: [Stephen Gaghan, hasChild, Betsy Gaghan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betsy Gaghan Context triple: [Stephen Gaghan, hasChild, Betsy Gaghan]
-
A.
Anne Garefino
Anne Garefino is an American television and theater producer best known for her longtime work on "South Park" and the Broadway musical "The Book of Mormon."
-
B.
Christine Gossett
Christine Gossett was the wife of American character actor Leon Ames, known primarily in relation to his long marriage and family life.
-
C.
Glena Goranson
Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
-
D.
Gail Berke
Gail Berke is a central protagonist in the adventure film "The Deep," known for becoming entangled in a dangerous underwater treasure hunt.
-
E.
Adrienne Fazan
Adrienne Fazan was an American film editor best known for her long collaboration with MGM and director Vincente Minnelli, including work on classic Hollywood musicals.
- 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: Betsy Gaghan Triple: [Stephen Gaghan, hasChild, Betsy Gaghan]
Generated description
Betsy Gaghan is the daughter of American screenwriter and director Stephen Gaghan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betsy Gaghan Target entity description: Betsy Gaghan is the daughter of American screenwriter and director Stephen Gaghan.
-
A.
Anne Garefino
Anne Garefino is an American television and theater producer best known for her longtime work on "South Park" and the Broadway musical "The Book of Mormon."
-
B.
Christine Gossett
Christine Gossett was the wife of American character actor Leon Ames, known primarily in relation to his long marriage and family life.
-
C.
Glena Goranson
Glena Goranson is the longtime wife of NFL coach Pete Carroll, known for her low public profile despite her husband’s high-profile football career.
-
D.
Gail Berke
Gail Berke is a central protagonist in the adventure film "The Deep," known for becoming entangled in a dangerous underwater treasure hunt.
-
E.
Adrienne Fazan
Adrienne Fazan was an American film editor best known for her long collaboration with MGM and director Vincente Minnelli, including work on classic Hollywood musicals.
- 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_69d05bdc87fc8190a5ae0883742cb08c |
completed | April 4, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_69d05d1f6e7c819091b60df086183556 |
completed | April 4, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05d7827e481909c1614948a4b6c3b |
completed | April 4, 2026, 12:38 a.m. |
Created at: March 30, 2026, 6:18 p.m.