Triple
T10752133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Me, Myself & Irene |
E253595
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Christopher Greenbury |
E367116
|
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: Christopher Greenbury | Statement: [Me, Myself & Irene, editedBy, Christopher Greenbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christopher Greenbury Context triple: [Me, Myself & Irene, editedBy, Christopher Greenbury]
-
A.
Christopher Greenbury
chosen
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
-
B.
Howard Greenhalgh
Howard Greenhalgh is a British music video director known for his visually distinctive and often surreal work for major rock and pop artists in the 1990s and beyond.
-
C.
Richard Bristow
Richard Bristow was a 16th-century English Catholic scholar and theologian who contributed to the development and annotation of the Douay–Rheims Bible.
-
D.
Richard Hiscott
Richard Hiscott is an editor known for his work on the television series "Willow."
-
E.
Nigel Green
Nigel Green was a British character actor known for his commanding presence in mid-20th-century war and adventure films.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71dc184d0819085f8bc4edb034377 |
completed | April 9, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e373af06588190879cd11cce11c7bb |
completed | April 18, 2026, 12:06 p.m. |
Created at: April 8, 2026, 9:15 p.m.