Triple
T20060793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Fuentes |
E499465
|
entity |
| Predicate | helps |
P1853
|
FINISHED |
| Object | Roman Pearce |
—
|
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: Roman Pearce | Statement: [Monica Fuentes, helps, Roman Pearce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roman Pearce Context triple: [Monica Fuentes, helps, Roman Pearce]
-
A.
Roman Pearce
chosen
Roman Pearce is a fast-talking, comedic street racer and member of Dominic Toretto's crew in the Fast & Furious film franchise.
-
B.
Lennard Pearce
Lennard Pearce was a British actor best known for playing Grandad in the classic sitcom "Only Fools and Horses."
-
C.
Martin Pearce
Martin Pearce is a fictional character featured in the work "Desertion."
-
D.
Alex Pugsley
Alex Pugsley is a Canadian writer and screenwriter known for his work in television and fiction.
-
E.
Mark Pearce
Mark Pearce is known primarily as the husband of acclaimed British novelist and short story writer Angela Carter.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.