Triple
T25899298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Phillips |
E652558
|
entity |
| Predicate | relationshipTypeWithJodieDallas |
P194293
|
FINISHED |
| Object | romantic relationship |
—
|
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 relationship | Statement: [Dennis Phillips, relationshipTypeWithJodieDallas, romantic relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithJodieDallas Context triple: [Dennis Phillips, relationshipTypeWithJodieDallas, romantic relationship]
-
A.
relationshipToJodieHolmes
Indicates the nature or type of relationship an entity has with Jodie Holmes.
-
B.
relationshipTypeWith Willis Davidge
Indicates the specific nature or category of the relationship that an entity has with Willis Davidge.
-
C.
relationshipTypeWithJudyBarton
Indicates the specific nature or category of relationship that an entity has with Judy Barton.
-
D.
relationshipTypeWithDanielPlainview
Indicates the specific nature or category of relationship that an entity has with Daniel Plainview.
-
E.
relationshipTypeWithDorothyZbornak
Indicates the specific nature or category of relationship an entity has with Dorothy Zbornak.
- 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
| PDg | Predicate description generation | batch_69fd6a1a38f081908c573aee4696de4f |
completed | May 8, 2026, 4:44 a.m. |
Created at: April 22, 2026, 8:23 a.m.