Triple
T4790052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Gray |
E106578
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Travis Gibb |
E199498
|
NE FINISHED |
How this triple was built (2 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: Travis Gibb | Statement: [Linda Gray, hasChild, Travis Gibb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travis Gibb Context triple: [Linda Gray, hasChild, Travis Gibb]
-
A.
Travis Gibb
chosen
Travis Gibb is one of the sons of Barry Gibb, the famed singer-songwriter and member of the Bee Gees.
-
B.
Travis Banton
Travis Banton was a prominent American Hollywood costume designer best known for his glamorous, influential work at Paramount Pictures during the 1920s and 1930s.
-
C.
Adam Gibbs
Adam Gibbs is a film producer known for his work on the movie "Love, Antosha."
-
D.
Travis Coates
Travis Coates is the young frontier boy in Fred Gipson’s novel "Old Yeller," whose coming-of-age is shaped by his deep bond with a stray dog in post-Civil War Texas.
-
E.
Travis Lee
Travis Lee is a former Major League Baseball first baseman who played primarily for the Arizona Diamondbacks and Philadelphia Phillies in the late 1990s and early 2000s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65dce6888190a0b1bdf416fb62b9 |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43e8f9dc8190b4e932d179e2f097 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.