Triple
T17210451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PWSFTviT |
E417713
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Leon Schiller |
—
|
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: Leon Schiller | Statement: [PWSFTviT, namedAfter, Leon Schiller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leon Schiller Context triple: [PWSFTviT, namedAfter, Leon Schiller]
-
A.
Leon Schiller
chosen
Leon Schiller was a prominent Polish theater and film director, critic, and theoretician, regarded as one of the key figures in 20th-century Polish performing arts.
-
B.
Michael Waldstein
Michael Waldstein is a Catholic theologian and scholar best known for his authoritative English translation and commentary on Pope John Paul II’s Theology of the Body.
-
C.
William Sheinberg
William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
-
D.
Steven Fierberg
Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
-
E.
Philip Liebmann
Philip Liebmann was the husband of American film actress Linda Darnell.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc4792081909443df7937768ede |
completed | April 19, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:38 a.m.