Triple
T10956785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Taylor |
E258864
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Alex Taylor |
E258865
|
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: Alex Taylor | Statement: [Kate Taylor, hasRelative, Alex Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Taylor Context triple: [Kate Taylor, hasRelative, Alex Taylor]
-
A.
Alex Taylor
chosen
Alex Taylor is a member of the Taylor family and the sibling of renowned singer-songwriter James Taylor.
-
B.
Ben Taylor
Ben Taylor was an early 20th-century American baseball figure known for his role in the Negro leagues, including leadership and organizational contributions that helped establish prominent Black baseball teams.
-
C.
Steven Taylor
Steven Taylor is a companion of the First Doctor in the classic British science fiction television series Doctor Who.
-
D.
David Taylor
David Taylor is a songwriter credited as one of the writers of Beyoncé’s hit empowerment anthem “Run the World (Girls).”
-
E.
Mike Taylor
Mike Taylor is a film editor known for his work on the acclaimed British gangster film "The Long Good Friday."
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771260e9881909401a7a7466e1b8a |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
Created at: April 8, 2026, 9:23 p.m.