Triple
T28747661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Appaloosa |
E731421
|
entity |
| Predicate | characterPlayedByMarlonBrando |
P192366
|
FINISHED |
| Object | Matt Fletcher |
—
|
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: Matt Fletcher | Statement: [The Appaloosa, characterPlayedByMarlonBrando, Matt Fletcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByMarlonBrando Context triple: [The Appaloosa, characterPlayedByMarlonBrando, Matt Fletcher]
-
A.
characterPlayedBy_Charles Bronson
Indicates that a given character is portrayed or acted by Charles Bronson.
-
B.
characterPlayedByGeneHackman
Indicates that a given character is portrayed or acted by Gene Hackman.
-
C.
characterVoicedBy_James Brolin
Indicates that a character is voiced by James Brolin in a performance or production.
-
D.
characterPlayedBy Edward G. Robinson
Indicates that a given character is portrayed or acted by Edward G. Robinson.
-
E.
leadCharacterPlayedByClarkGable
Indicates that the work’s lead character is portrayed by the actor Clark Gable.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69fd098357348190a835c0b6d99857d2 |
completed | May 7, 2026, 9:52 p.m. |
Created at: April 28, 2026, 6:06 a.m.