Triple
T5601973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winchester '73 |
E147140
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Stephen McNally |
E391941
|
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: Stephen McNally | Statement: [Winchester '73, starring, Stephen McNally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen McNally Context triple: [Winchester '73, starring, Stephen McNally]
-
A.
Stephen McNally
chosen
Stephen McNally was an American film and television actor known for his tough, often villainous roles in mid-20th-century Hollywood dramas and westerns.
-
B.
Rob McKenna
Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
-
C.
Rob McKenna
Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
-
D.
Michael O’Rourke
Michael O’Rourke is an Irish media entrepreneur best known as a co-founder of the international sports television network Setanta Sports.
-
E.
Peter McNulty
Peter McNulty is a film editor known for his work on feature films including the military drama "Megan Leavey."
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020dbd6dc8190ba011876c205754e |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a045c4881909a3e48a242db5d22 |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:39 p.m.