Triple
T4761211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levite of Ephraim |
E105701
|
entity |
| Predicate | concubineDies |
P45915
|
FINISHED |
| Object | after abuse in Gibeah |
—
|
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: after abuse in Gibeah | Statement: [Levite of Ephraim, concubineDies, after abuse in Gibeah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concubineDies Context triple: [Levite of Ephraim, concubineDies, after abuse in Gibeah]
-
A.
concubineOf
chosen
Indicates a relationship where one person is a concubine belonging to or maintained by another person.
-
B.
motherIsConcubineOf
Indicates that the person’s mother has the social or marital status of a concubine in relation to another specified individual.
-
C.
producedConsortOf
Indicates a relationship where one entity created, authored, or otherwise brought into existence another entity that serves as a consort (spouse or partner) to a third entity.
-
D.
hasAffairWith
Indicates that one entity is engaged in a secret or illicit romantic or sexual relationship with another entity, typically outside a committed partnership.
-
E.
marriageToHenryVIIIConsummated
Indicates that the subject’s marriage to Henry VIII was physically consummated.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650eefe08190b99f9f01b121dbfd |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd6225c9488190afee5bb3619d0365 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.