Triple
T26701182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Freeman as Ned Logan |
E673158
|
entity |
| Predicate | joinsBountyHunt |
P87170
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Morgan Freeman as Ned Logan, joinsBountyHunt, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinsBountyHunt Context triple: [Morgan Freeman as Ned Logan, joinsBountyHunt, true]
-
A.
joins
Indicates that one entity becomes a member or part of another entity, typically by entering into an organization, group, or association.
-
B.
bounty
Indicates that a reward or payment is offered for performing a specific action or achieving a particular outcome related to an entity.
-
C.
associatedWithHunting
chosen
Indicates a relationship where an entity is connected to, involved in, or commonly linked with the activity or practice of hunting.
-
D.
questInvolvedIn
Indicates that an entity participates in, is associated with, or plays a role in a particular quest or mission.
-
E.
joinsFBI
Indicates that an entity becomes a member of, or formally enters into service with, the FBI.
- 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_69f6177ef08481908130a8cc2ec33fb2 |
completed | May 2, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:31 a.m.