Triple
T15715047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Stewart |
E380939
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Hal Stewart |
E380939
|
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: Hal Stewart | Statement: [Hal Stewart, fullName, Hal Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Stewart Context triple: [Hal Stewart, fullName, Hal Stewart]
-
A.
Hal Stewart
chosen
Hal Stewart is the cameraman-turned-supervillain known as Tighten in the animated film "Megamind."
-
B.
Rex Stewart
Rex Stewart was an American jazz cornetist and composer best known for his distinctive, expressive playing during his long tenure with Duke Ellington’s orchestra.
-
C.
Larry Steers
Larry Steers was a prolific American character actor of the silent and early sound film era, appearing in hundreds of movies in mostly uncredited or supporting roles.
-
D.
Nels Stewart
Nels Stewart was a Canadian professional ice hockey center and prolific goal scorer who became a Hockey Hall of Famer after starring in the NHL during the 1920s and 1930s.
-
E.
Roy Stewart
Roy Stewart was an American silent film actor known for his roles in early Westerns and adventure films during the 1910s and 1920s.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f90aea0819082a9e9fe0f7780b0 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff28d38a4819085bf051b566c17e7 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:45 a.m.