Triple
T10896953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gouet |
E257333
|
entity |
| Predicate | relationshipToAligoté |
P96288
|
FINISHED |
| Object | parent |
—
|
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: parent | Statement: [Gouet, relationshipToAligoté, parent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToAligoté Context triple: [Gouet, relationshipToAligoté, parent]
-
A.
cultivatedBy
Indicates that something (such as land, crops, or plants) is grown, tended, or developed through the efforts or care of a particular agent.
-
B.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
C.
hasNeighborRelationshipWith
Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
-
D.
relationshipToMadameMerle
Indicates the specific nature or type of relationship an entity has with Madame Merle.
-
E.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d02e4c88190b8286078e90bf913 |
completed | April 9, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.