Triple
T8614515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Ireland |
E204001
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | John Ireland |
E569460
|
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: John Ireland | Statement: [John Ireland, fullName, John Ireland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ireland Context triple: [John Ireland, fullName, John Ireland]
-
A.
John Ireland
chosen
John Ireland was a prominent Irish-born American actor known for his tough-guy roles in mid-20th-century Hollywood films such as "Red River" and "All the King's Men."
-
B.
John Ireland
John Ireland was an English composer of the late Romantic and early modern periods, best known for his piano miniatures, chamber music, and evocative song settings.
-
C.
Reeve Carney
Reeve Carney is an American actor and musician best known for his roles in the TV series "Penny Dreadful" and the Broadway musical "Hadestown."
-
D.
Myles Connolly
Myles Connolly was an American author, Hollywood screenwriter, and devout Catholic layman best known for his influential novel "Mr. Blue" and his work on numerous classic films.
-
E.
Nicholas Woodeson
Nicholas Woodeson is a British character actor known for his work in film, television, and theatre, including roles in productions such as "Skyfall," "Rome," and "The Death of Stalin."
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc47020748819090f658c115c1a7b9 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc8b99cc8190b319a435f456ec05 |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:25 p.m.