Triple
T8385191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Fox |
E197799
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Michael Clayton |
E82127
|
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 Clayton | Statement: [Jennifer Fox, notableWork, Michael Clayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Clayton Context triple: [Jennifer Fox, notableWork, Michael Clayton]
-
A.
Michael Clayton
chosen
Michael Clayton is a 2007 legal thriller film starring George Clooney as a law firm's "fixer" who confronts a major corporate corruption scandal.
-
B.
Billy Flynn
Billy Flynn is the charismatic, manipulative defense attorney character from the musical "Chicago."
-
C.
Grant Marshall
Grant Marshall is a British musician and producer best known as a founding member of the influential trip hop group Massive Attack.
-
D.
Tom Wambsgans
Tom Wambsgans is a central character in the television series "Succession," known as Shiv Roy’s ambitious, often obsequious husband who navigates the ruthless corporate and family politics of Waystar Royco.
-
E.
Alex De Rakoff
Alex De Rakoff is a British film and music video director known for his work on high-profile pop videos and feature 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80e03eb08190a458c9caa0524e0f |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde8312be48190bd5896adc8bb4e95 |
completed | April 2, 2026, 3:53 a.m. |
Created at: March 30, 2026, 6:02 p.m.