Triple
T14749003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Diver |
E346552
|
entity |
| Predicate | relationshipToRosemaryHoyt |
P115635
|
FINISHED |
| Object | romantic involvement |
—
|
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: romantic involvement | Statement: [Dick Diver, relationshipToRosemaryHoyt, romantic involvement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToRosemaryHoyt Context triple: [Dick Diver, relationshipToRosemaryHoyt, romantic involvement]
-
A.
relationshipToEveHarrington
Indicates the nature or role of one entity’s connection or association to Eve Harrington.
-
B.
relationshipToElaineRisley
Indicates the nature or type of connection an entity has to Elaine Risley, such as familial, social, or professional relationship.
-
C.
relationshipToHollyGolightly
Indicates the nature or type of relationship an entity has with Holly Golightly.
-
D.
relationshipToMaJoad
Indicates the specific familial or interpersonal relationship an entity has with Ma Joad.
-
E.
relationshipToSamanthaGrimm
Indicates the specific type of relationship or connection an entity has to Samantha Grimm.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d2e1748190b16ede681fe52872 |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:30 a.m.