Triple
T34804634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opti-Grab |
E1003319
|
entity |
| Predicate | creatorInFictionActor |
P199326
|
FINISHED |
| Object | Steve Martin |
—
|
NE NERFINISHED |
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: Steve Martin | Statement: [Opti-Grab, creatorInFictionActor, Steve Martin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorInFictionActor Context triple: [Opti-Grab, creatorInFictionActor, Steve Martin]
-
A.
creatorOfCharacter
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
B.
creatorOfAdaptationCharacterIn
Indicates that a person is the creator of a character that appears in a particular adaptation of a work.
-
C.
publicPersonaInFiction
chosen
Indicates that a real-world public figure is represented or portrayed as a character within a work of fiction.
-
D.
producerInFiction
Indicates that an entity serves as a producer (e.g., of a show, film, or other work) within a fictional context or narrative.
-
E.
creatorOfMainCharacter
Indicates that one entity is the creator or originator of the main character entity in a work or narrative.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff5b233e9c8190adc06cca0758986b |
completed | May 9, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ff5a5682108190a006b23c4fcdcc7c |
completed | May 9, 2026, 4:01 p.m. |
Created at: May 3, 2026, 3:59 p.m.