Triple
T17217554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Man with the Golden Gun (film) |
E417890
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
M
M is the stern, authoritative head of the British Secret Service and James Bond’s superior in the long-running 007 film series.
|
E109337
|
NE FINISHED |
How this triple was built (4 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: M | Statement: [The Man with the Golden Gun (film), character, M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M Context triple: [The Man with the Golden Gun (film), character, M]
-
A.
M
M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
-
B.
M
M is the New York Stock Exchange ticker symbol for Macy's, Inc., a major American department store chain.
-
C.
M
M is an experimental musical composition by avant-garde American composer John Cage, reflecting his innovative approaches to sound and structure.
-
D.
M
M is a landmark 1931 German thriller film by Fritz Lang, renowned as an early and influential work in the serial killer and crime genre.
-
E.
M
M is a light rail line in San Francisco’s Muni Metro system that runs between the Embarcadero and the southwestern neighborhoods of the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: M Triple: [The Man with the Golden Gun (film), character, M]
Generated description
M is the stern, authoritative head of the British Secret Service and James Bond’s superior in the long-running 007 film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M Target entity description: M is the stern, authoritative head of the British Secret Service and James Bond’s superior in the long-running 007 film series.
-
A.
M
chosen
M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
-
B.
M
"M" is a 1951 American crime thriller film directed by Joseph Losey, adapted from Fritz Lang’s 1931 classic, in which David Wayne portrays a hunted child murderer.
-
C.
M
M is a landmark 1931 German thriller film by Fritz Lang, renowned as an early and influential work in the serial killer and crime genre.
-
D.
M
M is the standard notation for the Monster group, the largest sporadic simple group in group theory and a central object in the study of finite simple groups and monstrous moonshine.
-
E.
M
M is a music producer and composer known for creating the soundtrack to the French thriller film "Tell No One."
- F. None of above.
Provenance (5 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. |
| NEDg | Description generation | batch_6a016b8609dc8190bfd3e1b6ff715d65 |
completed | May 11, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016c5018e48190974c124c3433bcc6 |
completed | May 11, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:38 a.m.