Triple
T20603767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wagon Train |
E506248
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Howard Christie |
—
|
NE NERFINISHED |
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: Howard Christie | Statement: [Wagon Train, creator, Howard Christie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Christie Context triple: [Wagon Train, creator, Howard Christie]
-
A.
Howard Christie
chosen
Howard Christie was a mid-20th-century American film producer best known for his work on genre and comedy features, including entries in Abbott and Costello’s film series.
-
B.
Howard Stevenson
Howard Stevenson is an American entrepreneur, educator, and longtime Harvard Business School professor known for his influential work on entrepreneurship and venture capital.
-
C.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
D.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
E.
Howard Douglas
Howard Douglas was a 19th-century British Army general, colonial administrator, and military writer who held several prominent imperial posts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa22663881909a8d4644e1c48dc2 |
completed | April 20, 2026, 10:35 p.m. |
Created at: April 16, 2026, 11:41 a.m.