Triple
T11200020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I. A. L. Diamond |
E265013
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Fortune Cookie |
E101034
|
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: The Fortune Cookie | Statement: [I. A. L. Diamond, notableWork, The Fortune Cookie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Fortune Cookie Context triple: [I. A. L. Diamond, notableWork, The Fortune Cookie]
-
A.
The Fortune Cookie
chosen
The Fortune Cookie is a 1966 American comedy film starring Jack Lemmon and Walter Matthau, notable as their first on-screen pairing and for its blend of sharp wit and social satire.
-
B.
The Peach Rolls
"The Peach Rolls" is a musical piece from the film score of the animated fantasy movie "James and the Giant Peach."
-
C.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
-
D.
Yo! Sushi
Yo! Sushi is a UK-based restaurant chain known for its conveyor-belt served Japanese-inspired dishes, particularly sushi.
-
E.
Las Galletas
Las Galletas is a small coastal resort town in southern Tenerife, Spain, known for its fishing harbor, relaxed atmosphere, and oceanfront promenades.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8c1e9f88190b2b42326aba9d778 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4970df7cc81909c3b07ead58513e8 |
completed | April 19, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.