Triple
T17247631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Voice |
E418667
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Michael Ellis |
E1024787
|
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 Ellis | Statement: [Little Voice, editedBy, Michael Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Ellis Context triple: [Little Voice, editedBy, Michael Ellis]
-
A.
Michael Ellis
chosen
Michael Ellis is a film editor best known for his work on the British comedy-drama film "Brassed Off."
-
B.
Michael Ellis
Michael Ellis is a screenwriter best known for co-writing the romantic comedy film "The Wedding Planner."
-
C.
Aaron Jeffery
Aaron Jeffery is a New Zealand-born Australian actor best known for his roles in television dramas such as "McLeod's Daughters" and "Wentworth."
-
D.
Charlie Jeffery
Charlie Jeffery is a British political scientist and academic leader who serves as Vice-Chancellor of the University of York.
-
E.
Charles Snodgrass
Charles Snodgrass is a person notable enough to be recognized as a primary bearer of the surname Snodgrass.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e24a4508190bbcc70c36b2b9c13 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f744d8819099f10bbba364586d |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.