Triple
T17217553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man with the Golden Gun (film) |
E417890
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Nick Nack |
E459242
|
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: Nick Nack | Statement: [The Man with the Golden Gun (film), character, Nick Nack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Nack Context triple: [The Man with the Golden Gun (film), character, Nick Nack]
-
A.
Nick Nack
chosen
Nick Nack is the diminutive, cunning henchman and butler to villain Francisco Scaramanga in the James Bond film "The Man with the Golden Gun."
-
B.
Needlenose Ned
Needlenose Ned is the overenthusiastic insurance salesman Ned Ryerson’s memorable nickname and catchphrase from the film "Groundhog Day."
-
C.
Nack
Nack is the child of Mrs. Mallard in the classic children's book "Make Way for Ducklings" by Robert McCloskey.
-
D.
Nick Shadow
Nick Shadow is the demonic tempter and antagonist in Igor Stravinsky’s opera *The Rake’s Progress*, who leads the protagonist Tom Rakewell to ruin.
-
E.
Paulie Bleeker
Paulie Bleeker is a shy, sweet-natured high school track athlete and the awkward love interest of the title character in the film "Juno."
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675381a0819094ed04eac636440b |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.