Triple
T10811440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wolf Man |
E255109
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | George Waggner |
E901504
|
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 Waggner | Statement: [The Wolf Man, producer, George Waggner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Waggner Context triple: [The Wolf Man, producer, George Waggner]
-
A.
George Waggner
chosen
George Waggner was an American film director, producer, and writer best known for his work in classic Hollywood horror cinema.
-
B.
Jerry Warriner
Jerry Warriner is the charming, witty husband whose marital misadventures and romantic sparring drive the screwball comedy of the classic film "The Awful Truth."
-
C.
Joseph Goreed
Joseph Goreed, better known as Joe Williams, was an acclaimed American jazz and blues singer renowned for his rich baritone voice and work with the Count Basie Orchestra.
-
D.
Louis Barron
Louis Barron was an American electronic music pioneer best known for co-creating the groundbreaking, fully electronic score for the 1956 science fiction film "Forbidden Planet."
-
E.
Glen Tullman
Glen Tullman is an American healthcare technology entrepreneur and executive best known for leading and building major digital health companies, including Allscripts.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b7bfac8190b6ae34144376d6ad |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f62d41448190ab65fb9c81d4d673 |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:18 p.m.