Triple
T1129557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny Girl |
E24796
|
entity |
| Predicate | starring |
P1507
|
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: [Funny Girl, starring, Omar Sharif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omar Sharif Context triple: [Funny Girl, starring, 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.
Peter O'Toole
Peter O'Toole was an acclaimed Irish-English actor renowned for his charismatic screen presence and multiple Academy Award–nominated performances across film, stage, and television.
-
C.
Richard Burton
Richard Burton was a renowned Welsh actor celebrated for his powerful Shakespearean performances and intense screen presence in classic films of the mid-20th century.
-
D.
Yul Brynner
Yul Brynner was a Russian-born American actor best known for his charismatic, bald-headed performances in classic films and stage productions such as "The King and I."
-
E.
David Niven
David Niven was a distinguished English actor known for his suave, debonair screen presence and acclaimed roles in films such as "Around the World in 80 Days" and "Separate Tables."
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbf979108190adad7073c8275dd2 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf13304881908aa74d92ef7b1c86 |
completed | March 8, 2026, 12:13 a.m. |
Created at: March 1, 2026, 7:44 p.m.