Triple
T11680540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Heart |
E277602
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Don Harvey |
E868815
|
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: Don Harvey | Statement: [American Heart, castMember, Don Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Harvey Context triple: [American Heart, castMember, Don Harvey]
-
A.
Don Harvey
chosen
Don Harvey is an American character actor known for his intense supporting roles in films such as the Vietnam War drama "Casualties of War."
-
B.
Harvey Doe
Harvey Doe was the husband of Baby Doe Tabor, a Colorado figure best known for her dramatic rise and fall during the silver mining boom.
-
C.
Mark Hoffman
Mark Hoffman is a fictional serial killer and primary antagonist in the "Saw" horror film franchise, known for continuing Jigsaw’s deadly games.
-
D.
Roy Bowers
Roy Bowers, better known by his craft name Robert Cochrane, was a prominent 20th-century English witch and influential figure in the development of modern traditional witchcraft.
-
E.
Kevin Killen
Kevin Killen is a renowned recording and mixing engineer best known for his work with artists such as U2, Peter Gabriel, and Kate Bush.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a461b0908190bef4e1c6777affcf |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0192f790c8190a99d512b6f5c15aa |
completed | April 28, 2026, 2:19 a.m. |
Created at: April 8, 2026, 9:40 p.m.