Triple
T6429855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slick Willie |
E128151
|
entity |
| Predicate | escapeSpecialty |
P70842
|
FINISHED |
| Object | prison escapes |
—
|
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: prison escapes | Statement: [Slick Willie, escapeSpecialty, prison escapes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: escapeSpecialty Context triple: [Slick Willie, escapeSpecialty, prison escapes]
-
A.
escapedBy
Indicates that an entity is freed or enabled to escape through the actions or intervention of another entity.
-
B.
positionSpecialization
Indicates that one position is a more specialized or focused variant of another, broader position.
-
C.
hasSpecialty
Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
-
D.
escapeLocation
Indicates that an entity moves away from or leaves a location to avoid danger, capture, or an undesirable situation.
-
E.
ridingSpecialty
Indicates that one entity has a particular area of expertise or focus related to riding (e.g., a specific riding style, discipline, or type).
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06923b12081908a09543450b88c24 |
completed | March 22, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69c060f780b08190aa650b4d1fc51f21 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c062d290448190a2183158ef75d129 |
completed | March 22, 2026, 9:44 p.m. |
Created at: March 22, 2026, 4:44 p.m.