Triple
T12946230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoe Barnes |
E309772
|
entity |
| Predicate | investigates |
P1857
|
FINISHED |
| Object | Peter Russo |
E499318
|
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: Peter Russo | Statement: [Zoe Barnes, investigates, Peter Russo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Russo Context triple: [Zoe Barnes, investigates, Peter Russo]
-
A.
Peter Russo
chosen
Peter Russo is a troubled Pennsylvania congressman and key character in the political drama series "House of Cards."
-
B.
Christopher Russo
Christopher Russo is an American sports radio and television personality best known for his energetic, outspoken style on baseball and talk shows.
-
C.
Pietro Russell
Pietro Russell is the central character in Sebastian Faulks’s novel "A Fool’s Alphabet," whose life story is told through episodic, alphabetically ordered chapters spanning different times and places.
-
D.
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.
-
E.
Peter Chase
Peter Chase is a composer known for creating the musical score for the film "L'Appartement."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1b3694819098527dcea3cfed93 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af75bc04819098d98c47fca48ac9 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.