Triple
T9162748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremiah O’Driscoll |
E219865
|
entity |
| Predicate | hasNameInEnglish |
P3437
|
FINISHED |
| Object | Jeremiah O’Driscoll |
E584832
|
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: Jeremiah O’Driscoll | Statement: [Jeremiah O’Driscoll, hasNameInEnglish, Jeremiah O’Driscoll]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremiah O’Driscoll Context triple: [Jeremiah O’Driscoll, hasNameInEnglish, Jeremiah O’Driscoll]
-
A.
Jeremiah O’Driscoll
Jeremiah O’Driscoll is a film editor best known for his work on major feature films, including serving as the editor of "The Polar Express."
-
B.
Jeremiah O’Driscoll
chosen
Jeremiah O’Driscoll is a film editor known for his work on major feature films, including the 2020 adaptation of "The Witches."
-
C.
Aidan O'Herlihy
Aidan O'Herlihy is a member of the O'Herlihy family, known in part through his relation to Irish-born television and film director Michael O'Herlihy.
-
D.
Luke Doolan
Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
-
E.
Jules O'Loughlin
Jules O'Loughlin is an Australian cinematographer known for his work on films such as the 2015 horror-comedy "Krampus."
- 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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2c1a9881909b7100b6e436386d |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14bc281688190b65b8224b70f08d7 |
completed | April 4, 2026, 5:34 p.m. |
Created at: March 30, 2026, 7:21 p.m.