Triple
T19851958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Micah |
E477016
|
entity |
| Predicate | hasOwnerAction |
P137573
|
FINISHED |
| Object | Micah consecrated one of his sons as priest |
—
|
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: Micah consecrated one of his sons as priest | Statement: [House of Micah, hasOwnerAction, Micah consecrated one of his sons as priest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOwnerAction Context triple: [House of Micah, hasOwnerAction, Micah consecrated one of his sons as priest]
-
A.
hasOwnerOperator
Indicates that an entity is owned and operated by a specified party, combining both ownership and operational responsibility in a single relationship.
-
B.
hasOwnerShare
Indicates that an entity holds a specified ownership stake or share in another entity or asset.
-
C.
hasOwnerInThePast
Indicates that an entity was owned by another entity at some time in the past, but not necessarily in the present.
-
D.
hasCoOwner
Indicates that an entity shares ownership of something with one or more other entities.
-
E.
hasOwnershipForm
Indicates that an entity possesses a particular legal or organizational form of ownership (such as private, public, or cooperative).
- F. None of above. chosen
Provenance (4 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65869e1b481908e2a2a2074ff4a6d |
completed | April 20, 2026, 4:46 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:51 p.m.