Triple
T773432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rock |
E16333
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Sean Connery |
E82626
|
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: Sean Connery | Statement: [The Rock, starring, Sean Connery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Connery Context triple: [The Rock, starring, Sean Connery]
-
A.
Sean Connery
chosen
Sean Connery was a Scottish actor best known for originating the role of James Bond on film and for his distinguished career in both mainstream and critically acclaimed cinema.
-
B.
Pierce Brosnan
Pierce Brosnan is an Irish actor best known for portraying James Bond in a series of films from the 1990s and early 2000s, as well as for roles in movies like "Mrs. Doubtfire" and "Mamma Mia!".
-
C.
Timothy Dalton
Timothy Dalton is a British actor best known for portraying James Bond in the films "The Living Daylights" and "Licence to Kill."
-
D.
Michael Caine
Michael Caine is an acclaimed English actor known for his distinctive voice and versatile performances across decades of film, including frequent roles in Christopher Nolan’s movies.
-
E.
Omar Sharif
Omar Sharif was an acclaimed Egyptian actor known internationally for his roles in classic films such as "Lawrence of Arabia" and "Doctor Zhivago."
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a72eda6c81908205ae5a1e05cc20 |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6667aabe08190b56f129864082c84 |
completed | March 3, 2026, 4:41 a.m. |
Created at: March 1, 2026, 7:37 p.m.