Triple
T20083042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eglon |
E500049
|
entity |
| Predicate | subsequentRole |
P138651
|
FINISHED |
| Object | example of divine deliverance through judge |
—
|
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: example of divine deliverance through judge | Statement: [Eglon, subsequentRole, example of divine deliverance through judge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentRole Context triple: [Eglon, subsequentRole, example of divine deliverance through judge]
-
A.
successorRole
Indicates that one role or position directly follows and replaces another in a sequence or organizational structure.
-
B.
successorStateRole
Indicates that one role represents the state or position that directly follows and replaces another role in a sequence or process.
-
C.
successorInSomeRoles
Indicates that one entity has taken over or followed another entity in certain specified roles or positions.
-
D.
roleAfterConversion
Indicates the role or position an entity holds after undergoing a conversion, transition, or change from a previous state or role.
-
E.
successionRole
Indicates a role or position that one entity assumes as the successor to another in a sequence of holders or office-bearers.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655946f48190a6b4cb13ea4e212a |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
| PDg | Predicate description generation | batch_69e54fc20888819083c9118a09d0d2dc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 11, 2026, 3:41 p.m.