Triple
T26535884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The 49th NAACP Image Awards (director) |
E671242
|
entity |
| Predicate | productionRoleOfStanLathan |
P85820
|
FINISHED |
| Object | television director |
—
|
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: television director | Statement: [The 49th NAACP Image Awards (director), productionRoleOfStanLathan, television director]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionRoleOfStanLathan Context triple: [The 49th NAACP Image Awards (director), productionRoleOfStanLathan, television director]
-
A.
leadActorAlsoProducer
Indicates that the person who plays the lead acting role in a production also serves as a producer for that same production.
-
B.
workedAsProducerFor
chosen
Indicates that one entity served in the role of producer for a work, project, or production associated with another entity.
-
C.
roleInLanternEntertainment
Indicates that an entity holds or held a specific role or position within Lantern Entertainment.
-
D.
producedRole
Indicates that one entity was responsible for creating, originating, or bringing about a particular role associated with another entity.
-
E.
TonyGoldwynRole
Indicates that an entity is a role or character portrayed by Tony Goldwyn.
- F. None of above.
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_69eeb3206e748190b90c85cc81f38c91 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 27, 2026, 1:38 a.m.