Triple
T7519252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya April Moore |
E177724
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Jonathan Irons |
E174569
|
NE 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: Jonathan Irons | Statement: [Maya April Moore, spouse, Jonathan Irons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Irons Context triple: [Maya April Moore, spouse, Jonathan Irons]
-
A.
Jonathan Irons
chosen
Jonathan Irons is an American man whose wrongful conviction and eventual release from prison drew national attention, in part due to the advocacy and later marriage of WNBA star Maya Moore.
-
B.
Michael Keaton
Michael Keaton is an American actor known for his versatile performances in films such as "Batman," "Beetlejuice," and the Academy Award–winning "Birdman."
-
C.
Piers Cavill
Piers Cavill is a British man best known to the public as one of the older brothers of actor Henry Cavill.
-
D.
Christopher Reeve
Christopher Reeve was an American actor best known for his iconic portrayal of Superman in the late 1970s and 1980s film series.
-
E.
Kal-El Coppola Cage
Kal-El Coppola Cage is the son of American actor Nicolas Cage, named after Superman’s Kryptonian birth name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f98ae48190946a18d7c2d33bcd |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8462610b481909fa74023852b0154 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.