Triple
T20017325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Pearce |
E494755
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Monte 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: Monte Pearce | Statement: [Guy Pearce, child, Monte Pearce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Pearce Context triple: [Guy Pearce, child, Monte Pearce]
-
A.
Monte Pearce
chosen
Monte Pearce is the son of Australian actor Guy Pearce and Dutch actress Carice van Houten.
-
B.
Monte Booker
Monte Booker is an American music producer and key figure in the Soulection collective, known for his innovative, percussion-heavy, and jazz-influenced hip-hop and R&B beats.
-
C.
Monte Frank
Monte Frank is a Connecticut attorney and civic leader who ran for governor as a third-party candidate in the 2018 Connecticut gubernatorial election.
-
D.
Monte Merrick
Monte Merrick is an American screenwriter best known for writing films such as the rodeo drama "8 Seconds" and the family comedy "Mr. Baseball."
-
E.
Mount Steele
Mount Steele is one of the highest and most prominent peaks in the Saint Elias Mountains of the Yukon, Canada, known for its remote, glaciated terrain.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623d76808190988990a8dc263ef7 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.