Triple
T7675886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Winterbottom |
E173858
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | Jude |
E681580
|
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: Jude | Statement: [Michael Winterbottom, directorOf, Jude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jude Context triple: [Michael Winterbottom, directorOf, Jude]
-
A.
Jude
Jude is a Christian apostle and traditionally regarded as the author of the New Testament Epistle of Jude.
-
B.
Jude
Jude is one of Bridget Jones’s close, supportive friends in the romantic comedy film "Bridget Jones: The Edge of Reason."
-
C.
Jude
"Jude" is a song famously associated with Julian Lennon, widely recognized as the inspiration behind The Beatles' classic "Hey Jude."
-
D.
Jude
chosen
Jude is a 1996 British drama film directed by Michael Winterbottom, adapted from Thomas Hardy’s novel "Jude the Obscure."
-
E.
The Nazarene
"The Nazarene" is a 1939 historical novel by Sholem Asch that portrays the life and times of Jesus of Nazareth from a sympathetic, human-centered Jewish perspective.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701e333f08190a9ee87080c6d0118 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac9af1c081908b0e100390258eaa |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:01 p.m.