Triple
T18821137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Mercy (1986 film) |
E460265
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Richard 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: Richard Pearce | Statement: [No Mercy (1986 film), director, Richard Pearce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Pearce Context triple: [No Mercy (1986 film), director, Richard Pearce]
-
A.
Richard Pearce
Richard Pearce is a voice actor known for his work in animated films, including providing a character voice in Pixar's "A Bug's Life."
-
B.
Richard Pearce
chosen
Richard Pearce is an American cinematographer and film director known for his work on documentaries and feature films, including the acclaimed food industry exposé "Food, Inc."
-
C.
Martin Pearce
Martin Pearce is a fictional character featured in the work "Desertion."
-
D.
Richard Pearson
Richard Pearson is a film editor best known for his work on major Hollywood productions, including the superhero ensemble film "Justice League."
-
E.
Richard Pearson
Richard Pearson is the protagonist of the graphic novel "Kingdom Come," serving as the human viewpoint character who witnesses and reflects on the conflict between aging superheroes and a new, reckless generation of metahumans.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6ba90988190a93e1c2fa23b3d1d |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.