Triple
T18970243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabisco |
E464146
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Fig Newtons |
—
|
NE NERFINISHED |
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: Fig Newtons | Statement: [Nabisco, brand, Fig Newtons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fig Newtons Context triple: [Nabisco, brand, Fig Newtons]
-
A.
Fig Newtons
chosen
Fig Newtons are a popular Nabisco cookie brand consisting of soft pastry filled with sweet fig paste.
-
B.
Filbert
Filbert is the anthropomorphic fox mascot of the Leicester City Football Club, commonly seen entertaining fans at the team’s matches and events.
-
C.
Pear
Pear is a sweet, bell-shaped fruit from the Pyrus genus, widely cultivated and eaten fresh, canned, or as juice around the world.
-
D.
Twinkie
Twinkie is a hustling, street-smart high school student in The Fast and the Furious: Tokyo Drift who introduces the protagonist to Tokyo’s underground drift racing scene.
-
E.
Biscuit
Biscuit is the mascot of the Allen Americans, a professional minor league ice hockey team based in Allen, Texas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d619acbc8190acb49b3fae707758 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon