Triple
T26701183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Freeman as Ned Logan |
E673158
|
entity |
| Predicate | targetOfBounty |
P19739
|
FINISHED |
| Object | cowboysWhoDisfiguredProstitute |
—
|
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: cowboysWhoDisfiguredProstitute | Statement: [Morgan Freeman as Ned Logan, targetOfBounty, cowboysWhoDisfiguredProstitute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOfBounty Context triple: [Morgan Freeman as Ned Logan, targetOfBounty, cowboysWhoDisfiguredProstitute]
-
A.
bounty
Indicates that a reward or payment is offered for performing a specific action or achieving a particular outcome related to an entity.
-
B.
target
Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
-
C.
isSoughtBy
chosen
Indicates that one entity is actively being searched for, pursued, or desired by another entity.
-
D.
aimsToCapture
Indicates an intention or effort by one entity to take control of, seize, or gain possession of another entity.
-
E.
targetOfThreat
Indicates that one entity is the recipient or intended victim of a threat made by another entity.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 3:31 a.m.