Triple
T1518461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frozen |
E32172
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Chris Buck |
E173780
|
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: Chris Buck | Statement: [Frozen, storyBy, Chris Buck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Buck Context triple: [Frozen, storyBy, Chris Buck]
-
A.
Chris Buck
chosen
Chris Buck is an American film director, animator, and screenwriter best known for co-directing Disney’s hit animated films such as Tarzan and Frozen.
-
B.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
C.
Martin Hurson
Martin Hurson was an Irish republican and Provisional IRA member who died on hunger strike in the Maze Prison during the 1981 Irish hunger strikes.
-
D.
Chris Sanders
Chris Sanders is an American animator, director, and screenwriter best known for co-creating and directing Disney’s "Lilo & Stitch" and contributing to several major animated films.
-
E.
Mike Gunton
Mike Gunton is a British television producer best known for his work on landmark BBC natural history documentaries.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907ed44ac8190953e428c831e24df |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308f99d8819095c2ed404d4170b3 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 4, 2026, 7:26 p.m.