Triple
T30009642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankie Barrymore Kopelman |
E762421
|
entity |
| Predicate | maternalGreatUncle |
P173406
|
FINISHED |
| Object | Lionel Barrymore |
—
|
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: Lionel Barrymore | Statement: [Frankie Barrymore Kopelman, maternalGreatUncle, Lionel Barrymore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maternalGreatUncle Context triple: [Frankie Barrymore Kopelman, maternalGreatUncle, Lionel Barrymore]
-
A.
maternalAuntOrUncle
Indicates that one person is the sibling of another person's mother, regardless of the sibling's gender.
-
B.
maternalGreatGrandfather
Indicates that one entity is the father of the mother of another entity’s mother (i.e., the person’s maternal great-grandfather).
-
C.
maternalGrandsonOf
Indicates that one entity is the male child of the daughter of another entity (i.e., the other entity’s grandson through their maternal line).
-
D.
maternalGrandfatherOf
Indicates that one person is the father of another person's mother.
-
E.
maternalGreatGrandmother
Indicates that one entity is the mother of another entity’s maternal grandmother (i.e., the person’s maternal great-grandmother).
- 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_69f2246b0c84819094f1250b6a02d277 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6b56ed31481908c3e5d749e46bad9 |
completed | May 3, 2026, 2:39 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: April 29, 2026, 6:43 p.m.