Triple
T13091439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Flowers |
E310471
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tommy Flowers |
E310471
|
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 Flowers | Statement: [Tommy Flowers, name, Tommy Flowers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tommy Flowers Context triple: [Tommy Flowers, name, Tommy Flowers]
-
A.
Tommy Flowers
chosen
Tommy Flowers was a British engineer best known for designing Colossus, the world’s first programmable electronic computer, which was used to break German codes during World War II.
-
B.
Tommy Rowland
Tommy Rowland is the central protagonist of the film "Beautiful Girls," around whom the story’s themes of friendship, nostalgia, and romantic uncertainty revolve.
-
C.
Tommy Warrilow
Tommy Warrilow is an English football manager and former player best known for managing non-league clubs, including a spell in charge of Ashford United F.C.
-
D.
Tommy Shepherd
Tommy Shepherd is a Marvel Comics character, also known as the speedster Wiccan’s twin brother Speed, and a reincarnated son of the Scarlet Witch.
-
E.
Tommy Parker
Tommy Parker is a songwriter best known for his work on the track "Walk It Out."
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813acbac8190b2fe5e07287457cf |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27417308190b388be4a31ce4b5d |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:03 p.m.