Triple
T12188135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quentin Crisp in The Naked Civil Servant |
E290388
|
entity |
| Predicate | depictsStruggle |
P9742
|
FINISHED |
| Object | homophobia |
—
|
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: homophobia | Statement: [Quentin Crisp in The Naked Civil Servant, depictsStruggle, homophobia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsStruggle Context triple: [Quentin Crisp in The Naked Civil Servant, depictsStruggle, homophobia]
-
A.
struggleFor
Indicates a relationship where one entity exerts effort or engages in conflict in order to obtain, achieve, or defend another entity or goal.
-
B.
associatedWithStruggle
Indicates a relationship in which an entity is connected to, involved in, or characterized by a particular struggle, conflict, or hardship.
-
C.
depictsConflict
chosen
Indicates that one entity visually represents or portrays a situation of conflict involving another entity or entities.
-
D.
meansOfStruggle
Indicates the method, tactic, or form of action used by an entity in carrying out a struggle or conflict.
-
E.
notableStruggles
Indicates that the subject has faced significant challenges, difficulties, or adversities that are especially noteworthy or defining.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.