Triple
T4760957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song of Deborah |
E105694
|
entity |
| Predicate | relationshipToJudges4 |
P58366
|
FINISHED |
| Object | poetic retelling of the same events |
—
|
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: poetic retelling of the same events | Statement: [Song of Deborah, relationshipToJudges4, poetic retelling of the same events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToJudges4 Context triple: [Song of Deborah, relationshipToJudges4, poetic retelling of the same events]
-
A.
associatedWithJudge
Indicates a relationship in which an entity has a professional, procedural, or contextual connection to a specific judge.
-
B.
roleInJudges
Indicates that an entity holds or held a specific role, position, or function within a judicial body or among a group of judges.
-
C.
judicialPartner
Indicates a formal partnership or collaborative relationship between entities within a judicial or court-related context.
-
D.
relativeAuthorityToChiefJustice
Indicates the degree or nature of authority that an entity holds in relation to the Chief Justice.
-
E.
styleOfJudges
Indicates the characteristic manner or approach that judges use when performing their judging role.
- 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_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. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:20 p.m.