Triple
T15689481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peppy Miller |
E380287
|
entity |
| Predicate | helpsCharacter |
P7748
|
FINISHED |
| Object | George Valentin |
E380286
|
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: George Valentin | Statement: [Peppy Miller, helpsCharacter, George Valentin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Valentin Context triple: [Peppy Miller, helpsCharacter, George Valentin]
-
A.
George Valentin
chosen
George Valentin is the charismatic silent film star whose career and personal life are upended by the rise of talking pictures in the film "The Artist."
-
B.
Luc Durand
Luc Durand is a Canadian architect best known for designing the iconic Habitat 67 housing complex in Montreal.
-
C.
Rex Grignon
Rex Grignon is an acclaimed animation director and supervisor best known for his character animation work on major DreamWorks films such as the Shrek series and Madagascar.
-
D.
Jean Rochon
Jean Rochon was a Canadian physician and politician best known for serving as Quebec’s Minister of Health and Social Services and for leading major health system reforms in the province.
-
E.
Jim Hugunin
Jim Hugunin is a software developer best known for creating the IronPython implementation of Python for the .NET framework and contributing to dynamic language integration on Microsoft platforms.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4e59988190aaf12f6a07c8f0e4 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756ffcc88190a72440c7b40711ff |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.