Triple
T773437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rock |
E16333
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | David Morse |
E73876
|
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: David Morse | Statement: [The Rock, starring, David Morse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Morse Context triple: [The Rock, starring, David Morse]
-
A.
David Morse
chosen
David Morse is an American character actor known for his tall, imposing presence and roles in films such as The Green Mile, The Hurt Locker, and television series like St. Elsewhere.
-
B.
Martin Henderson
Martin Henderson is a New Zealand actor known for his roles in films like "The Ring" and "Everest" and TV series such as "Grey's Anatomy" and "Virgin River."
-
C.
Richard Gant
Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
-
D.
Jonathan Tucker
Jonathan Tucker is an American actor known for his intense, character-driven roles in film and television, including prominent performances in series like "Kingdom," "Westworld," and "City on a Hill."
-
E.
Anson Mount
Anson Mount is an American actor best known for his leading roles in television dramas such as Hell on Wheels and Star Trek: Discovery/Strange New Worlds.
- 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_69ac16f360208190affd6282a1040d9a |
completed | March 7, 2026, 12:15 p.m. |
Created at: March 1, 2026, 7:37 p.m.