Triple
T2069090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Wisdom |
E45973
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Trouble in Store |
E39719
|
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: Trouble in Store | Statement: [Norman Wisdom, notableWork, Trouble in Store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trouble in Store Context triple: [Norman Wisdom, notableWork, Trouble in Store]
-
A.
Trouble in Store
chosen
Trouble in Store is a 1953 British comedy film starring Norman Wisdom in one of his earliest and most popular screen roles.
-
B.
Troublemaker
Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
-
C.
Troubled Times
"Troubled Times" is a song by the American punk rock band Green Day from their album *Revolution Radio*.
-
D.
The Shop
The Shop is the historic Royal Military Academy in Woolwich, London, which served as the British Army’s principal training institution for artillery and engineering officers.
-
E.
Queen of the Supermarket
"Queen of the Supermarket" is a romantic, narrative-driven song by Bruce Springsteen that portrays a supermarket cashier as an object of quiet admiration and longing.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9f51a008190aead0173a9289204 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae27289eb081909bfbc9bf2cd14878 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:41 p.m.