Triple
T190901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omar Sharif |
E3718
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Omar Sharif |
E3718
|
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: Omar Sharif | Statement: [Omar Sharif, fullName, Omar Sharif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omar Sharif Context triple: [Omar Sharif, fullName, Omar Sharif]
-
A.
Omar Sharif
chosen
Omar Sharif was an acclaimed Egyptian actor known internationally for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
-
B.
Laurence Olivier
Laurence Olivier was a renowned 20th-century English actor and director, widely regarded as one of the greatest performers in the history of stage and screen.
-
C.
Robert Shaw
Robert Shaw was a British actor and writer best known for his intense, commanding performances in films such as "Jaws," "From Russia with Love," and "The Sting."
-
D.
Gregory Peck
Gregory Peck was an acclaimed American actor renowned for his dignified, morally upright roles in classic films such as "To Kill a Mockingbird."
-
E.
Tyrone Power
Tyrone Power was a popular American film and stage actor of the 1930s–1950s, best known for his swashbuckling and romantic leading roles in Hollywood classics such as "The Mark of Zorro" and "Blood and Sand."
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25964fc5c8190bd3e37daaf695ecf |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a305e64a9081908f147299826d5ae9 |
completed | Feb. 28, 2026, 3:12 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.