Triple
T38140851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Hazlewood |
E952474
|
entity |
| Predicate | relationshipSecrecyReason |
P97364
|
FINISHED |
| Object | social stigma against homosexuality |
—
|
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: social stigma against homosexuality | Statement: [Patrick Hazlewood, relationshipSecrecyReason, social stigma against homosexuality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipSecrecyReason Context triple: [Patrick Hazlewood, relationshipSecrecyReason, social stigma against homosexuality]
-
A.
familySecretInvolves
Indicates that a particular family secret concerns, affects, or is about the specified entity or entities.
-
B.
relationshipContext
chosen
Indicates the situational or social setting in which a relationship between entities exists or occurs.
-
C.
secretlyIs
Indicates that one entity possesses a hidden or undisclosed identity, role, or attribute in relation to another entity.
-
D.
revealsSecretEngagementTo
Indicates that one entity discloses previously hidden information about a secret engagement to another entity.
-
E.
relationshipNote
Indicates that there is an associated note or annotation describing or qualifying the relationship between the entities.
- 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_69f76f09a7148190a4b91c0bacdc127a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:21 p.m.