Triple
T28450298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constable Maggie Habib |
E716557
|
entity |
| Predicate | humourStyleAroundCharacter |
P116540
|
FINISHED |
| Object | situational comedy at police station |
—
|
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: situational comedy at police station | Statement: [Constable Maggie Habib, humourStyleAroundCharacter, situational comedy at police station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humourStyleAroundCharacter Context triple: [Constable Maggie Habib, humourStyleAroundCharacter, situational comedy at police station]
-
A.
styleCharacter
Indicates that one entity defines, influences, or characterizes the stylistic qualities or manner of expression of another entity.
-
B.
isHumorousCharacter
Indicates that the character is portrayed in a humorous way or primarily serves a comedic role in the context.
-
C.
allyOfCharacter
Indicates that one character maintains an alliance or supportive partnership with another character.
-
D.
characterStyle
Indicates how a character is visually or typographically presented, such as its font, weight, size, or decorative attributes.
-
E.
humorousTone
chosen
Indicates that the related communication, expression, or interaction is characterized by humor, playfulness, or comedic intent.
- 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_69f64e71a1808190afe91d850046e923 |
completed | May 2, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 1:51 a.m.