Triple
T11625996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicken Run: Dawn of the Nugget |
E276270
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Bunty |
E913141
|
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: Bunty | Statement: [Chicken Run: Dawn of the Nugget, mainCharacter, Bunty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunty Context triple: [Chicken Run: Dawn of the Nugget, mainCharacter, Bunty]
-
A.
Bunty
chosen
Bunty is a character from the animated film "Chicken Run," known as one of the hens in the flock alongside Ginger.
-
B.
Babla
Babla is an individual known primarily as the spouse of Kanchan.
-
C.
Babla
Babla is an influential chutney music artist known for helping popularize the genre through his energetic, Indo-Caribbean–inspired recordings and performances.
-
D.
Tinkle
Tinkle is a surname most prominently associated with Wayne Tinkle, an American college basketball coach and former player.
-
E.
Munmun
Munmun is a satirical young adult novel by Jesse Andrews that explores extreme economic inequality through a fantastical world where people’s physical size reflects their wealth.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a12416908190ac2dcd7f7ebb308f |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87845d588190bfa4197e7ab600a7 |
completed | April 26, 2026, 9:45 p.m. |
Created at: April 8, 2026, 9:39 p.m.