Triple
T15296655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanghai Noon |
E365677
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Tom Lewis |
E1043563
|
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: Tom Lewis | Statement: [Shanghai Noon, editedBy, Tom Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Lewis Context triple: [Shanghai Noon, editedBy, Tom Lewis]
-
A.
Tom Lewis
chosen
Tom Lewis is a film editor known for his work on the crime-comedy movie "The Whole Nine Yards."
-
B.
Tom Lewis
Tom Lewis was the husband of American actress Loretta Young, known primarily for his marriage to the Hollywood star.
-
C.
Andrew Lewis
Andrew Lewis was an 18th-century American pioneer, surveyor, and military leader in the French and Indian War and the American Revolutionary War, noted for his role in the Battle of Point Pleasant.
-
D.
Peter Mullen
Peter Mullen is a British Anglican priest and writer known for his traditionalist views and commentary on religious and social issues.
-
E.
Stephen Rennicks
Stephen Rennicks is an Irish composer best known for his film scores, particularly his long-standing collaboration with director Lenny Abrahamson.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e036848c1881908fbaaae0216d6d27 |
completed | April 16, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef81058c8190aec7c7ad9a68f569 |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.