Triple
T21993501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phileine Says Sorry |
E543145
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Michiel Huisman |
—
|
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: Michiel Huisman | Statement: [Phileine Says Sorry, stars, Michiel Huisman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michiel Huisman Context triple: [Phileine Says Sorry, stars, Michiel Huisman]
-
A.
Michiel Huisman
chosen
Michiel Huisman is a Dutch actor and musician known for roles in international film and television, including series like Game of Thrones and The Haunting of Hill House.
-
B.
Jeroen Huisman
Jeroen Huisman is a scholar known for his research on higher education policy, governance, and organization.
-
C.
Willem Huisman
Willem Huisman is a notable individual who carries the Dutch surname Huisman, recognized as a distinguished bearer of that name.
-
D.
Matthias Schoenaerts
Matthias Schoenaerts is a Belgian actor known for his intense, versatile performances in European cinema and international films such as "Rust and Bone," "Bullhead," and "Far from the Madding Crowd."
-
E.
Wim Huisman
Wim Huisman is a notable individual recognized for bearing the Dutch surname Huisman.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1270f77fc8190aadcc02760d65ac0 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:17 p.m.