Triple
T25301490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Barone |
E634354
|
entity |
| Predicate | relationshipWithRayBarone |
P182199
|
FINISHED |
| Object | critical yet affectionate |
—
|
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: critical yet affectionate | Statement: [Frank Barone, relationshipWithRayBarone, critical yet affectionate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithRayBarone Context triple: [Frank Barone, relationshipWithRayBarone, critical yet affectionate]
-
A.
relationshipWithMarieBarone
Indicates that one entity has a specified interpersonal relationship with the person Marie Barone.
-
B.
relationshipToBobbyRayburn
Indicates the specific type of personal or social connection an entity has to Bobby Rayburn.
-
C.
relationshipTypeWithRaymondHolt
Indicates the specific nature or category of relationship an entity has with Raymond Holt.
-
D.
relationshipWithBarbaraSopranoGiglione
Indicates that one entity has a specified personal or familial relationship with Barbara Soprano Giglione.
-
E.
relationshipToBarryFairbrother
Indicates the specific nature or type of relationship an entity has with Barry Fairbrother.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: April 21, 2026, 1:24 p.m.