Triple
T20645735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vince D’Angelo |
E507350
|
entity |
| Predicate | relationshipTypeWithWillTruman |
P124596
|
FINISHED |
| Object | long-term boyfriend |
—
|
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: long-term boyfriend | Statement: [Vince D’Angelo, relationshipTypeWithWillTruman, long-term boyfriend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithWillTruman Context triple: [Vince D’Angelo, relationshipTypeWithWillTruman, long-term boyfriend]
-
A.
relationshipToTruman
Indicates the specific familial, social, or professional connection that an entity has with Truman.
-
B.
relationshipTypeWithTristan
Indicates the specific nature or category of the relationship that an entity has with Tristan.
-
C.
relationshipTypeWithTaylorTravis
Indicates the specific nature or category of the relationship that an entity has with Taylor Travis.
-
D.
relationshipToTracyTurnblad
Indicates the specific familial, social, or interpersonal connection that one entity has to Tracy Turnblad.
-
E.
relationshipToTrumanBurbank
chosen
Indicates the type or nature of a person's relationship to Truman Burbank.
- F. None of above.
Provenance (3 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.