Triple
T33729148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Little Pigs |
E864224
|
entity |
| Predicate | hasAccusedCharacter |
P185247
|
FINISHED |
| Object | Caroline Crale |
—
|
NE NERFINISHED |
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: Caroline Crale | Statement: [Five Little Pigs, hasAccusedCharacter, Caroline Crale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccusedCharacter Context triple: [Five Little Pigs, hasAccusedCharacter, Caroline Crale]
-
A.
hasAccusedRole
Indicates that one entity has the role or capacity of making an accusation against another entity.
-
B.
hasAccusedAssassin
Indicates that one entity has formally or informally claimed that another entity is the assassin responsible for a killing.
-
C.
hasAccuser
Indicates that one entity serves as the accuser of another entity in a dispute, complaint, or allegation.
-
D.
accusedCharacterPortrayedBy
Indicates that a particular actor or performer plays the role of the character who is accused within a given work.
-
E.
accusedIn
Indicates that a person or entity is formally charged with wrongdoing in a particular case, proceeding, or context.
- 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_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 1, 2026, 1:44 a.m.