Triple
T26955414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Hayes |
E678888
|
entity |
| Predicate | religiousViewInfluencesCareer |
P29112
|
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: [Harriet Hayes, religiousViewInfluencesCareer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousViewInfluencesCareer Context triple: [Harriet Hayes, religiousViewInfluencesCareer, true]
-
A.
influencedByReligion
chosen
Indicates that an entity’s characteristics, decisions, or development are shaped or affected by religious beliefs, practices, or institutions.
-
B.
influencedReligion
Indicates that one entity has had a shaping or modifying effect on the religious beliefs, practices, or traditions of another entity.
-
C.
hasReligionOccupationFocus
Indicates that an occupation is primarily focused on religious activities, roles, or responsibilities.
-
D.
religiousAttitude
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
E.
religiousAndSpiritualRole
Indicates that an entity holds or fulfills a religious or spiritual function, office, or responsibility in relation to another entity or context.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 27, 2026, 6:27 a.m.