Triple
T26401940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Macdonnell |
E663723
|
entity |
| Predicate | roleInCreationOfGunsmoke |
P184575
|
FINISHED |
| Object | co-creator |
—
|
LITERAL 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: co-creator | Statement: [Norman Macdonnell, roleInCreationOfGunsmoke, co-creator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCreationOfGunsmoke Context triple: [Norman Macdonnell, roleInCreationOfGunsmoke, co-creator]
-
A.
roleInManOnFire
Indicates that an entity has a role or participation in the work titled "Man on Fire."
-
B.
roleInDa5Bloods
Indicates that an entity had an acting role in the film "Da 5 Bloods."
-
C.
actorForCharacterSheriffGilCorrigan
Indicates that an entity is the actor who portrays the character Sheriff Gil Corrigan.
-
D.
hasGunfighterProtagonist
Indicates that the main character in the work is a gunfighter, typically skilled in the use of guns and involved in gun-related confrontations.
-
E.
roleOfCharacter
Indicates that one entity serves as the narrative or functional role played by a character within a story, scenario, or context.
- F. None of above. chosen
Provenance (4 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: April 26, 2026, 11:32 p.m.