Triple
T4884948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Postman |
E109415
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | James Russo |
E493641
|
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: James Russo | Statement: [The Postman, starring, James Russo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Russo Context triple: [The Postman, starring, James Russo]
-
A.
James Russo
chosen
James Russo is an American character actor known for his intense, often tough-guy roles in crime dramas and thrillers across film and television.
-
B.
Jeff Russo
Jeff Russo is an American composer and musician best known for his atmospheric scores for film, television, and video games, including series like Fargo and Star Trek: Discovery.
-
C.
Mitch Pileggi
Mitch Pileggi is an American actor best known for his long-running role as FBI Assistant Director Walter Skinner on the television series "The X-Files."
-
D.
Alan Di Fiore
Alan Di Fiore is a Canadian screenwriter and producer known for his work in film and television, including co-writing the thriller "Money Monster."
-
E.
Robert Mammone
Robert Mammone is an Australian actor known for his work in film and television, including roles in war dramas and action-oriented productions.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6de3718881908521968fa6e6b444 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec342e4788190ad9bb12e54b6a4ed |
completed | March 21, 2026, 4:11 p.m. |
Created at: March 20, 2026, 1:27 p.m.