Triple
T30921406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judy |
E787733
|
entity |
| Predicate | relationshipTypeWithJimStark |
P207321
|
FINISHED |
| Object | romantic interest |
—
|
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 interest | Statement: [Judy, relationshipTypeWithJimStark, romantic interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithJimStark Context triple: [Judy, relationshipTypeWithJimStark, romantic interest]
-
A.
relationshipTypeWith Jim Burden
Indicates the specific nature or category of relationship that an entity has with Jim Burden.
-
B.
hasRelationshipTypeWith Jim Rockford
Indicates that an entity is connected to Jim Rockford by a specific type of relationship (such as familial, professional, or social).
-
C.
relationshipToJoeBuck
Indicates the specific familial, social, or professional relationship that one entity has to the person Joe Buck.
-
D.
relationshipToJimDear
Indicates a familial, romantic, or otherwise significant personal relationship that an entity has with the person referred to as Jim Dear.
-
E.
relationshipTypeWithAibileenClark
Indicates the specific type or nature of the relationship that an entity has with Aibileen Clark.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8:51 p.m.