Triple
T23385999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Carney |
E593880
|
entity |
| Predicate | relationshipToPatrickCarney |
P152044
|
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: [Ralph Carney, relationshipToPatrickCarney, uncle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToPatrickCarney Context triple: [Ralph Carney, relationshipToPatrickCarney, uncle]
-
A.
relationshipToPatrickDennis
Indicates the specific familial, social, or professional relationship that one entity has to Patrick Dennis.
-
B.
relationshipToPatsey
Indicates the nature or type of relationship an entity has with the person or entity named Patsey.
-
C.
relationshipWithJamesTyrone
Indicates a personal or familial connection that an entity has with James Tyrone.
-
D.
relationshipToPatrick Zariakas
Indicates that one entity has a specified personal or social relationship to Patrick Zariakas.
-
E.
relationshipToHarveyCheyneJr
Indicates the specific familial, social, or professional relationship that an entity has to Harvey Cheyne Jr.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a498286c8190abfa381649812cf0 |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:35 p.m.