Triple
T22002303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Medavoy |
E543359
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Diane Russell |
—
|
NE NERFINISHED |
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: Diane Russell | Statement: [Greg Medavoy, hasColleague, Diane Russell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Russell Context triple: [Greg Medavoy, hasColleague, Diane Russell]
-
A.
Diane Russell
chosen
Diane Russell is a complex, hard-edged yet vulnerable NYPD detective on the television drama "NYPD Blue," known for her struggles with alcoholism and tumultuous personal relationships.
-
B.
Leigh Russell
Leigh Russell is an Australian actress best known for her role in the controversial 1992 film "Romper Stomper."
-
C.
Diane Curtis
Diane Curtis is an individual known primarily through her association as a friend of Dan Lewis.
-
D.
Dianne Lewis
Dianne Lewis is known as the spouse of the late American character actor Philip Baker Hall.
-
E.
Diane Rogers
Diane Rogers is best known as the wife of American actor Richard Kiel, who famously portrayed the character Jaws in the James Bond film series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276bf2a48190910d9c27f1c5e74f |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.