Triple
T15199672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Best Seller |
E363232
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Paul Shenar |
E1028836
|
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: Paul Shenar | Statement: [Best Seller, starring, Paul Shenar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Shenar Context triple: [Best Seller, starring, Paul Shenar]
-
A.
Paul Shenar
chosen
Paul Shenar was an American actor best known for his intense character roles in film and television, including his portrayal of Bolivian drug lord Alejandro Sosa in "Scarface."
-
B.
Kevin Chinoy
Kevin Chinoy is an American film and television producer best known for his work on acclaimed independent projects such as "The Florida Project."
-
C.
Ed Cherney
Ed Cherney was a Grammy-winning American recording engineer and mixer renowned for his work with artists such as Eric Clapton, Bonnie Raitt, and the Rolling Stones.
-
D.
Al Young
Al Young was an American poet, novelist, essayist, and former California Poet Laureate known for his explorations of African American life, music, and culture.
-
E.
John Sarrao
John Sarrao is an American physicist and scientific leader known for his work in condensed matter physics and for directing major U.S. research institutions, including the SLAC National Accelerator Laboratory.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd2dc6f08190a8f1612ac29a8654 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:10 a.m.