Triple
T22948090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Daddy Hollingsworth |
E569928
|
entity |
| Predicate | relationshipToClaytonHollingsworth |
P150356
|
FINISHED |
| Object | father |
—
|
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: father | Statement: [Big Daddy Hollingsworth, relationshipToClaytonHollingsworth, father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToClaytonHollingsworth Context triple: [Big Daddy Hollingsworth, relationshipToClaytonHollingsworth, father]
-
A.
relationshipToHollyGolightly
Indicates the nature or type of relationship an entity has with Holly Golightly.
-
B.
relationshipTypeWithHayleyTravis
Indicates the specific nature or category of the relationship that an entity has with Hayley Travis.
-
C.
relationshipTypeWith Alonzo Harris
Indicates the specific nature or category of the relationship that an entity has with Alonzo Harris.
-
D.
relationshipTypeWithJohnHartigan
Indicates the specific nature or category of relationship that an entity has with John Hartigan.
-
E.
relationshipTypeWith Hank Evans
Indicates the specific nature or category of the relationship that an entity has with Hank Evans.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:46 p.m.