Triple
T11008738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josh Barkley |
E260188
|
entity |
| Predicate | partOfDuo |
P46169
|
FINISHED |
| Object | married Broadway duo |
—
|
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: married Broadway duo | Statement: [Josh Barkley, partOfDuo, married Broadway duo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfDuo Context triple: [Josh Barkley, partOfDuo, married Broadway duo]
-
A.
dualPair
Indicates that two entities form a dual pair, standing in a mathematically defined dual relationship where each is the dual counterpart of the other.
-
B.
associatedWithDuo
chosen
Indicates a relationship in which an entity is linked or connected to a specific duo, typically implying involvement, collaboration, or relevance to that pair.
-
C.
formedDuoWith
Indicates that two entities joined together to create a duo, typically collaborating or acting as a pair for a shared purpose or activity.
-
D.
partOfSingle
Indicates that one entity is a component or member of exactly one specific whole or collection, and not shared among multiple such wholes.
-
E.
pairedInDoubleBillWith
Indicates that two performances, films, or shows are scheduled or presented together as a combined double-feature program.
- F. None of above.
Provenance (3 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.