Triple
T37825960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predator |
E943059
|
entity |
| Predicate | hasForensicTheme |
P103061
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Predator, hasForensicTheme, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasForensicTheme Context triple: [Predator, hasForensicTheme, yes]
-
A.
hasForensicElement
chosen
Indicates that something includes, involves, or is characterized by a forensic component, aspect, or feature.
-
B.
hasMotiveTheme
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
-
C.
hasPoliceTheme
Indicates that something features police, law enforcement, or policing activities as a central theme or focus.
-
D.
isThemedTo
Indicates that one entity is designed, styled, or conceptually based around the subject, motif, or theme represented by another entity.
-
E.
hasGhostTheme
Indicates that something features or is characterized by a ghost-related or supernatural theme.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:19 p.m.