Triple
T25502733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humanist Heroine Award |
E639160
|
entity |
| Predicate | nonReligious |
P52242
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Humanist Heroine Award, nonReligious, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonReligious Context triple: [Humanist Heroine Award, nonReligious, true]
-
A.
isNonReligious
chosen
Indicates that an entity does not adhere to, practice, or identify with any religion or religious belief system.
-
B.
religionNeutral
Indicates that the relationship or action is independent of, unaffected by, or not characterized in terms of any particular religion or religious affiliation.
-
C.
nonClerical
Indicates that an entity, role, or activity is not related to clerical or administrative work or duties.
-
D.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
-
E.
otherReligion
Indicates that one entity follows or is associated with a religion that is different from the religion of another entity.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f80381a481909f39b55b220ad261 |
completed | May 2, 2026, 1:11 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 2:45 p.m.