Triple
T13516884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel Frank Fitts |
E322782
|
entity |
| Predicate | attitudeTowardHomosexuality |
P3468
|
FINISHED |
| Object | publicly homophobic |
—
|
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: publicly homophobic | Statement: [Colonel Frank Fitts, attitudeTowardHomosexuality, publicly homophobic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attitudeTowardHomosexuality Context triple: [Colonel Frank Fitts, attitudeTowardHomosexuality, publicly homophobic]
-
A.
attitudeTowardLove
Indicates an entity’s feelings, beliefs, or stance regarding the concept or experience of love.
-
B.
attitudeTowardDiversity
Indicates a stance, feeling, or evaluation that an entity holds regarding diversity or diverse groups.
-
C.
hasPositionOnHomosexuality
chosen
Indicates that an entity holds a specific stance, view, or policy regarding homosexuality.
-
D.
cultAttitude
Indicates the stance, beliefs, or disposition that a cult or cult-like group holds toward a particular entity, idea, or practice.
-
E.
sexualOrientation
Indicates an entity’s enduring pattern of romantic or sexual attraction toward others, typically in terms of the genders or sexes to which it is attracted.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:44 p.m.