Triple
T15472724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fig Newtons |
E376703
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Fig Newton |
E376703
|
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: Fig Newton | Statement: [Fig Newtons, hasAlternativeName, Fig Newton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fig Newton Context triple: [Fig Newtons, hasAlternativeName, Fig Newton]
-
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.
Mr. Peanutbutter
Mr. Peanutbutter is an upbeat, golden retriever humanoid and television personality from the animated series "BoJack Horseman," known for his relentless optimism and charm.
-
D.
Ernie Keebler
Ernie Keebler is the cheerful, cartoon elf mascot of the Keebler cookie brand, known for baking treats in a magical tree.
-
E.
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.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d075e64819097061ef4c205577e |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.