Triple
T31411844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Chu |
E801287
|
entity |
| Predicate | meetsFamilyOf |
P172229
|
FINISHED |
| Object | Nick Young |
—
|
NE NERFINISHED |
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: Nick Young | Statement: [Rachel Chu, meetsFamilyOf, Nick Young]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsFamilyOf Context triple: [Rachel Chu, meetsFamilyOf, Nick Young]
-
A.
containsFamily
Indicates that one entity includes or encompasses members of a particular family group within it.
-
B.
targetsFamilyOf
Indicates that one entity is directed against, aimed at, or designed to affect a particular family or group of closely related entities.
-
C.
intendedFamily
Indicates that one entity is planned or designated to be part of another entity’s family or familial group in the future.
-
D.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
E.
allowsForFamily
Indicates that one entity enables or makes it possible for another entity to support or include family-related participation, benefits, or involvement.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 30, 2026, 8:39 p.m.