Triple
T16525250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persuader |
E401417
|
entity |
| Predicate | featuresUndercoverMission |
P23258
|
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: [Persuader, featuresUndercoverMission, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresUndercoverMission Context triple: [Persuader, featuresUndercoverMission, true]
-
A.
featuresPrivateDetective
Indicates that the subject includes or involves a private detective as a notable element or character.
-
B.
featuresAssassins
Indicates that the subject includes, portrays, or prominently involves assassins as part of its content or composition.
-
C.
featuresTreasureHunt
Indicates that something includes or offers a treasure hunt activity or experience.
-
D.
featuresMode
Indicates that one entity operates in, supports, or is characterized by a particular mode or configuration specified by another entity.
-
E.
missionCharacteristic
chosen
Indicates that a mission possesses a specific attribute, feature, or quality that characterizes its nature or execution.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed323c081908218460aa4ae3cf6 |
completed | April 18, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.