Triple
T8956822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Gibb |
E213492
|
entity |
| Predicate | sibling |
P363
|
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: [Alexandra Gibb, sibling, Travis Gibb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Travis Gibb Context triple: [Alexandra Gibb, sibling, 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.
Justin O’Brien
Justin O’Brien was an American scholar and translator best known for his influential English translations of Albert Camus’s works, which helped introduce the French existentialist writer to a broad Anglophone audience.
-
D.
Adam Gibbs
Adam Gibbs is a film producer known for his work on the movie "Love, Antosha."
-
E.
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.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6728965881908e9f14aaee0c5a18 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc216ff2c819098056dff0de9479f |
completed | April 3, 2026, 1:35 p.m. |
Created at: March 30, 2026, 7 p.m.