Triple
T20017320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Pearce |
E494755
|
entity |
| Predicate | childOf |
P120
|
FINISHED |
| Object | Carice van Houten |
—
|
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: Carice van Houten | Statement: [Monte Pearce, childOf, Carice van Houten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carice van Houten Context triple: [Monte Pearce, childOf, Carice van Houten]
-
A.
Carice van Houten
chosen
Carice van Houten is a Dutch actress best known internationally for her role as Melisandre in the television series "Game of Thrones."
-
B.
Catherine Spaak
Catherine Spaak was a French-Italian actress, singer, and television presenter best known for her prominent roles in 1960s Italian cinema and later work on Italian TV.
-
C.
Ana Gasteyer
Ana Gasteyer is an American actress and comedian best known for her work on "Saturday Night Live" and roles in films and television, including the cult teen comedy "Mean Girls."
-
D.
Sylvia Hoeks
Sylvia Hoeks is a Dutch actress best known internationally for her role as the replicant Luv in the science fiction film "Blade Runner 2049."
-
E.
Annette Kurschus
Annette Kurschus is a German Protestant theologian and bishop who has served as a leading figure in the Evangelical Church in Germany.
- 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.