Triple
T32936581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinxed |
E842543
|
entity |
| Predicate | recurringSleuth |
P175877
|
FINISHED |
| Object | Regan Reilly |
—
|
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: Regan Reilly | Statement: [Jinxed, recurringSleuth, Regan Reilly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recurringSleuth Context triple: [Jinxed, recurringSleuth, Regan Reilly]
-
A.
notableSuspect
Indicates that an individual is a particularly significant or prominent suspect in relation to an event, case, or investigation.
-
B.
mysteryAssociatedWith
Indicates a relationship where something is connected to, involved in, or characterized by an element of mystery or the unknown.
-
C.
focusesOnMysteries
Indicates that the subject concentrates attention or effort specifically on mysteries, such as puzzling events, unknown phenomena, or unsolved cases.
-
D.
subjectOfInquest
Indicates that an entity is the focus or target of a formal inquest or official investigative proceeding.
-
E.
secondMystery
Indicates a secondary, less obvious or more enigmatic relationship or phenomenon whose nature is not immediately clear or explicitly defined.
- 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:20 a.m.