Triple
T21281280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tavares |
E524528
|
entity |
| Predicate | relationshipToJohnTavaresIceHockey |
P143496
|
FINISHED |
| Object | uncle |
—
|
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: uncle | Statement: [John Tavares, relationshipToJohnTavaresIceHockey, uncle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToJohnTavaresIceHockey Context triple: [John Tavares, relationshipToJohnTavaresIceHockey, uncle]
-
A.
personReferredToNHLTeam
Indicates that a person has mentioned or made reference to a specific NHL (National Hockey League) team.
-
B.
relationshipTypeWithTaylorTravis
Indicates the specific nature or category of the relationship that an entity has with Taylor Travis.
-
C.
relationshipToJoeKeller
Indicates the specific familial, social, or personal connection that one entity has to Joe Keller.
-
D.
relationshipToTucker
Indicates the specific familial, social, or professional relationship that one entity has to Tucker.
-
E.
relationshipTypeWithJohnLuther
Indicates the specific nature or category of the relationship an entity has with John Luther.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d186988190a5b16fcb669ece9f |
completed | April 21, 2026, 8:35 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
| PDg | Predicate description generation | batch_69e5f9943ed881909ef49045c5bcf6df |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 4:02 p.m.