Triple
T28450317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constable Kevin Goody |
E716558
|
entity |
| Predicate | colleagueInFiction |
P176006
|
FINISHED |
| Object | Sergeant Patricia Dawkins |
—
|
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: Sergeant Patricia Dawkins | Statement: [Constable Kevin Goody, colleagueInFiction, Sergeant Patricia Dawkins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colleagueInFiction Context triple: [Constable Kevin Goody, colleagueInFiction, Sergeant Patricia Dawkins]
-
A.
worksWithInFiction
chosen
Indicates that two fictional characters are depicted as collaborating, interacting, or being associated with each other within a narrative work.
-
B.
neighborOfFictional
Indicates that one fictional entity is located next to or in close proximity to another fictional entity within a narrative or imagined setting.
-
C.
officeAssumedInFiction
Indicates that an entity is depicted as assuming or taking on an office or official position within a fictional context or narrative.
-
D.
worksWithFictionalCharacter
Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
-
E.
composedByFictionalCharacter
Indicates that a work or piece of content is (within the narrative) created or authored by a fictional character.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 28, 2026, 1:51 a.m.