Triple
T33729143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Little Pigs |
E864224
|
entity |
| Predicate | hasMotiveInvestigation |
P197397
|
FINISHED |
| Object | reassessment of past conviction |
—
|
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: reassessment of past conviction | Statement: [Five Little Pigs, hasMotiveInvestigation, reassessment of past conviction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotiveInvestigation Context triple: [Five Little Pigs, hasMotiveInvestigation, reassessment of past conviction]
-
A.
hasInvestigationTrigger
Indicates that one entity serves as the cause, condition, or event that initiates or justifies an investigation into another entity.
-
B.
areInvestigatedFor
Indicates that one or more entities are the subject of an investigation concerning a particular issue, incident, or alleged wrongdoing.
-
C.
hasInvestigationTarget
Indicates that an investigation is directed toward or focused on a particular target entity.
-
D.
containsInvestigationOf
Indicates that one entity includes or encompasses an investigation or inquiry concerning another entity.
-
E.
hasLaterInvestigation
Indicates that one investigation occurs after and follows from another in time.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe8f74748c8190bd14a856c057f9f7 |
completed | May 9, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69fe8e7ed8088190929e0df67aca4de9 |
completed | May 9, 2026, 1:31 a.m. |
| PDg | Predicate description generation | batch_69fe8f730bb88190975bffd49f5e0f3b |
completed | May 9, 2026, 1:35 a.m. |
Created at: May 1, 2026, 1:44 a.m.