Triple
T17247564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Christmas |
E418666
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Peter Lord |
E911811
|
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: Peter Lord | Statement: [Arthur Christmas, producer, Peter Lord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Lord Context triple: [Arthur Christmas, producer, Peter Lord]
-
A.
Peter Lord
chosen
Peter Lord is a British animator, film director, and co-founder of Aardman Animations, best known for his work on stop-motion films such as Chicken Run and the Wallace & Gromit series.
-
B.
Chip Lord
Chip Lord is an American multimedia artist and filmmaker best known as a co-founder of the art collective Ant Farm and for co-creating the iconic public artwork Cadillac Ranch in Texas.
-
C.
Nick Park
Nick Park is a British animator and filmmaker best known as the creator of the stop-motion series Wallace and Gromit and a leading figure at Aardman Animations.
-
D.
Timm Sharp
Timm Sharp is an American actor and comedian known for his roles in television series such as "Enlightened" and various indie films.
-
E.
Peter Harness
Peter Harness is a British screenwriter and producer known for his work on television dramas and genre series, including adaptations of acclaimed novels.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e24a4508190bbcc70c36b2b9c13 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f744d8819099f10bbba364586d |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.