Triple
T24337866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Aaron |
E613428
|
entity |
| Predicate | highestOfficeHeldByMember |
P112779
|
FINISHED |
| Object | High Priest of Israel |
—
|
NE NERFINISHED |
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: High Priest of Israel | Statement: [House of Aaron, highestOfficeHeldByMember, High Priest of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestOfficeHeldByMember Context triple: [House of Aaron, highestOfficeHeldByMember, High Priest of Israel]
-
A.
politicalPositionHeldByMembers
Indicates that a particular political position is or has been occupied by one or more members of a specified group or organization.
-
B.
hasMemberWhoHeldOffice
chosen
Indicates that a group or organization includes at least one member who has held a specified office or position.
-
C.
rankHeldByOfficeholder
Indicates the specific rank or level associated with an office or position that is held by a particular officeholder.
-
D.
possibleOfficeHeld
Indicates that an entity may have held, or is a candidate to have held, a particular office or position, without asserting it as a confirmed fact.
-
E.
stateOfPoliticalOffice
Indicates the political office or governmental position currently held or associated with an 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293225a58819082bba82ad445864f |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:57 a.m.