Triple
T18755379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rounders |
E458634
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Martin Landau |
—
|
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: Martin Landau | Statement: [Rounders, starring, Martin Landau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Landau Context triple: [Rounders, starring, Martin Landau]
-
A.
Martin Landau
chosen
Martin Landau was an American actor renowned for his versatile film and television roles, including an Oscar-winning performance as Bela Lugosi in "Ed Wood."
-
B.
Paul Frees
Paul Frees was a prolific American voice actor known for his work in classic animated films, television specials, and theme park attractions, often referred to as "The Man of a Thousand Voices."
-
C.
John Dehner
John Dehner was an American character actor known for his prolific work in Western films and television series during the mid-20th century.
-
D.
Seymour Cassel
Seymour Cassel was an American character actor known for his longtime collaboration with director John Cassavetes and his roles in numerous independent and mainstream films.
-
E.
Hans Conried
Hans Conried was an American character actor and voice actor best known for his comedic and often villainous roles in mid-20th-century film, radio, television, and animation.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579f084208190a4b3563d47154e69 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.