Triple
T12219567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Invisible Woman |
E291175
|
entity |
| Predicate | costumeDesigner |
P184
|
FINISHED |
| Object | Michael O’Connor |
E918439
|
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 O’Connor | Statement: [The Invisible Woman, costumeDesigner, Michael O’Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael O’Connor Context triple: [The Invisible Woman, costumeDesigner, Michael O’Connor]
-
A.
Michael O'Connor
chosen
Michael O'Connor is an Academy Award-winning British costume designer known for his detailed period work on films such as "The Duchess" and "Jane Eyre" (2011).
-
B.
Roger O'Connor
Roger O'Connor was an Irish nationalist and writer known for his radical political views in the late 18th and early 19th centuries.
-
C.
Greg O’Connor
Greg O’Connor is a film producer known for his work on crime and drama features, including the 2008 police drama "Pride and Glory."
-
D.
Kevin O'Connor
Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
-
E.
Brian O’Dowd
Brian O’Dowd is a television and film producer best known for his work as an executive producer on the series "Nightingale."
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c951f5881908db6edfda1153d6f |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75464d85c8190a4c27f22cfd7dc96 |
completed | May 3, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:51 p.m.