Triple
T7977598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Colton |
E185484
|
entity |
| Predicate | helpsCharacter |
P7748
|
FINISHED |
| Object | Joan Wilder |
E183551
|
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: Joan Wilder | Statement: [Jack Colton, helpsCharacter, Joan Wilder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Wilder Context triple: [Jack Colton, helpsCharacter, Joan Wilder]
-
A.
Joan Wilder
chosen
Joan Wilder is a shy, romantic adventure novelist who is thrust into a real-life treasure hunt in the film "Romancing the Stone."
-
B.
Edith Snodgrass
Edith Snodgrass is a notable individual distinguished enough to be recognized as a prominent bearer of the Snodgrass surname.
-
C.
Cornelia Paterson
Cornelia Paterson was a member of a prominent early American political family who became the wife of New York landowner and politician Stephen Van Rensselaer.
-
D.
Maud Aiken
Maud Aiken was the wife of Irish revolutionary and long-serving politician Frank Aiken, associated with Ireland’s early 20th-century political and social life.
-
E.
Zannie Beaty
Zannie Beaty is a film producer known for work on the teen comedy movie "Easy A."
- 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_69ca829851908190b4e03829353ee7c3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bf716508190b4245bd5d89ae8c4 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0cc09a081909cb92cd4864ef50d |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:14 p.m.