Triple
T9015450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proof of Life |
E215582
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michael Byrne |
E396603
|
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: Michael Byrne | Statement: [Proof of Life, starring, Michael Byrne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Byrne Context triple: [Proof of Life, starring, Michael Byrne]
-
A.
Michael Byrne
chosen
Michael Byrne is a British character actor known for his numerous film and television roles, often portraying military officers or authority figures.
-
B.
Brian Byrne
Brian Byrne is an Irish composer best known for his film scores and orchestral works, including the acclaimed music for the film "Albert Nobbs."
-
C.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
D.
Michael Fitzgerald
Michael Fitzgerald is a film producer known for his work on acclaimed independent and art-house movies, including collaborations with prominent directors like Tommy Lee Jones.
-
E.
Michael Foley
Michael Foley is the husband of American actress and writer Jennifer Crystal Foley, known for her roles in television and film.
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fc0e4c819080b60456375f94cd |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100aef084819086c68bf539343555 |
completed | April 4, 2026, 12:14 p.m. |
Created at: March 30, 2026, 7:06 p.m.