Triple
T26076222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perigune |
E657688
|
entity |
| Predicate | relationshipToSinis |
P195342
|
FINISHED |
| Object | daughter |
—
|
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: daughter | Statement: [Perigune, relationshipToSinis, daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSinis Context triple: [Perigune, relationshipToSinis, daughter]
-
A.
relationshipToState
Indicates a relationship or connection that an entity has with a particular state or governmental body.
-
B.
relationshipToBond
Indicates the specific type of personal, familial, or professional relationship an entity has to the person named Bond.
-
C.
relationshipToMaster
Indicates the type or nature of a subject’s connection, role, or association with a designated master entity.
-
D.
relationshipTypeWithSassi
Indicates the specific type or nature of the relationship that an entity has with Sassi.
-
E.
referralRelationship
Indicates a relationship in which one entity directs or recommends another entity to a third party for services, information, or further action.
- 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_69ee5bbe539081909efc7f9dd7c1b53c |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69fdbc5da9988190b95234bce4cc2062 |
completed | May 8, 2026, 10:35 a.m. |
Created at: April 26, 2026, 7:34 p.m.