Triple
T10739832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Be or Not to Be |
E253291
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Robert Stack |
E201200
|
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: Robert Stack | Statement: [To Be or Not to Be, starring, Robert Stack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Stack Context triple: [To Be or Not to Be, starring, Robert Stack]
-
A.
Robert Stack
chosen
Robert Stack was an American actor best known for hosting the television series "Unsolved Mysteries" and for his role in the crime drama "The Untouchables."
-
B.
Milton Berlinger
Milton Berlinger, better known by his stage name Milton Berle, was a pioneering American comedian and actor who became one of television’s first major stars.
-
C.
Joe Coburn
Joe Coburn was a 19th-century Irish-American bare-knuckle boxer who became one of the leading heavyweight fighters of his era.
-
D.
George Aldrich
George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
-
E.
Russell Pearce
Russell Pearce is an American politician and former Arizona state senator best known for championing hardline immigration legislation, including the controversial SB 1070 law.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71043106c819091939950f532eda5 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22ed6edc8190beb76bd2971c7cec |
completed | April 14, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:14 p.m.