Triple
T1820876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Town |
E40535
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Chip |
E173094
|
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: Chip | Statement: [On the Town, notableCharacter, Chip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chip Context triple: [On the Town, notableCharacter, Chip]
-
A.
Chip
chosen
Chip is one half of the classic chipmunk duo Chip and Dale, known from Disney cartoons for his clever, responsible personality and frequent comedic clashes with characters like Donald Duck.
-
B.
CHIP
CHIP is a U.S. government program that provides low-cost health coverage to children in families that earn too much to qualify for Medicaid but cannot afford private insurance.
-
C.
Pixel
Pixel is Google's flagship line of Android smartphones known for their clean software experience and advanced camera capabilities.
-
D.
Chuck
Chuck is an American action-comedy television series that blends spy drama with workplace humor, centered on an ordinary computer geek who accidentally becomes a government asset.
-
E.
Chuck
Chuck is a common diminutive form of the given name Charles, often used as a familiar or informal nickname.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa662a13208190b4126d92c613760d |
completed | March 6, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6526f88190907de68a5344a084 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.