Triple
T16698274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Well-Groomed Bride |
E405775
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | James Gleason |
E186317
|
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: James Gleason | Statement: [The Well-Groomed Bride, castMember, James Gleason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Gleason Context triple: [The Well-Groomed Bride, castMember, James Gleason]
-
A.
James Gleason
chosen
James Gleason was an American character actor and playwright known for his gruff, fast-talking roles in numerous Hollywood films from the 1920s through the 1950s.
-
B.
James S. Gleason
James S. Gleason is a notable member of the prominent Gleason family, recognized for his public and civic contributions.
-
C.
James P. Gleason
James P. Gleason was an American politician and public servant who served as the first elected County Executive of Montgomery County, Maryland.
-
D.
Joseph Gleason
Joseph Gleason is an individual notable enough to be recognized as a prominent bearer of the surname Gleason.
-
E.
Eddie Albert
Eddie Albert was an American actor best known for his roles in film and television, particularly the sitcom "Green Acres" and numerous classic Hollywood movies.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832f550c8190bf7514d4611dec6a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a51378788190b9f3bb0a344dcdd8 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:19 a.m.