Triple
T9302489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Taylor |
E223798
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Tommy Taylor |
E223798
|
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: Tommy Taylor | Statement: [Tommy Taylor, nickname, Tommy Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Taylor Context triple: [Tommy Taylor, nickname, Tommy Taylor]
-
A.
Tommy Taylor
chosen
Tommy Taylor was an English footballer and prolific centre-forward for Manchester United and the England national team in the 1950s.
-
B.
Tommy Griffin
Tommy Griffin is an American former basketball player and coach best known as the father of NBA star Blake Griffin.
-
C.
Tommy Aldridge
Tommy Aldridge is an American hard rock and heavy metal drummer renowned for his powerful double-bass technique and work with bands such as Whitesnake and Ozzy Osbourne.
-
D.
Tommy Beresford
Tommy Beresford is a fictional amateur detective and adventurer who, alongside his wife Tuppence, stars in several of Agatha Christie's mystery novels and short stories.
-
E.
Tommy Ross
Tommy Ross is a popular high school student in Stephen King’s horror novel "Carrie," known for his pivotal role in inviting Carrie White to the prom.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d34c4c819095a213360747c3a6 |
completed | April 1, 2026, noon |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3924df4819095490983615b2aae |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:36 p.m.