Triple
T10126989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carice van Houten |
E226238
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Monte Pearce |
E494755
|
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: Monte Pearce | Statement: [Carice van Houten, hasChild, Monte Pearce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Pearce Context triple: [Carice van Houten, hasChild, Monte Pearce]
-
A.
Monte Pearce
chosen
Monte Pearce is the son of Australian actor Guy Pearce and Dutch actress Carice van Houten.
-
B.
Mount Lister
Mount Lister is a prominent mountain in Antarctica’s Ross Dependency, known as one of the major peaks of the Royal Society Range in Victoria Land.
-
C.
Monte Brown
Monte Brown is a musician best known for his work with the new wave band Tom Tom Club.
-
D.
Monte McNair
Monte McNair is an NBA executive best known for leading the Sacramento Kings’ front office and helping end the franchise’s long playoff drought through savvy roster building.
-
E.
Monte
Monte is the costumed grizzly bear mascot who represents the University of Montana at athletic events and campus activities.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2eef7388190b95ffd02814f2d1f |
completed | April 2, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc69a5c88190ab7b108e1aab20ba |
completed | April 5, 2026, 8:56 p.m. |
Created at: March 30, 2026, 9:05 p.m.