Triple
T37910762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Texas Rangers (1951 film) |
E945680
|
entity |
| Predicate | leadActorForCharacterJohnnyCarver |
P191855
|
FINISHED |
| Object | George Montgomery |
—
|
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: George Montgomery | Statement: [The Texas Rangers (1951 film), leadActorForCharacterJohnnyCarver, George Montgomery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacterJohnnyCarver Context triple: [The Texas Rangers (1951 film), leadActorForCharacterJohnnyCarver, George Montgomery]
-
A.
leadActorForCharacter Joe Barrett
Indicates that the specified person is the primary actor portraying the character Joe Barrett.
-
B.
leadActorForCharacter_TrevorHolden
Indicates that the specified person is the lead actor portraying the character Trevor Holden.
-
C.
leadActorForCharacterJayWilliams
Indicates that a person is the primary actor portraying the character Jay Williams in a performance or production.
-
D.
leadActorForCharacterRed
Indicates that an actor is the primary performer portraying the character Red.
-
E.
leadActorForCharacterKay
Indicates that one entity is the lead actor portraying the character Kay in a given production.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
| PDg | Predicate description generation | batch_69fcec5e560481909cd710b88897e833 |
completed | May 7, 2026, 7:47 p.m. |
Created at: May 3, 2026, 4:20 p.m.