Triple
T4418005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mc |
E95023
|
entity |
| Predicate | firstCharacter |
P3818
|
FINISHED |
| Object |
M
M is a fictional character best known as the head of the British Secret Intelligence Service (MI6) in the James Bond 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: [Mc, firstCharacter, M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M Context triple: [Mc, firstCharacter, M]
-
A.
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.
-
B.
M
M is a functional data mashup and query language used in Microsoft Power BI and related tools for data transformation and preparation.
-
C.
M
M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
-
D.
M
M is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and connects Brooklyn and Queens.
-
E.
M
M is the New York Stock Exchange ticker symbol for Macy's, Inc., a major American department store chain.
- 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: [Mc, firstCharacter, M]
Generated description
M is a fictional character best known as the head of the British Secret Intelligence Service (MI6) in the James Bond series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M Target entity description: M is a fictional character best known as the head of the British Secret Intelligence Service (MI6) in the James Bond series.
-
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
chosen
M is the codename for James Bond’s stern and authoritative superior who heads the British Secret Service in the 007 franchise.
-
C.
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.
-
D.
M
M is a New York City Subway service that runs along the IND Sixth Avenue Line in Manhattan and connects Brooklyn and Queens.
-
E.
M
M is the New York Stock Exchange ticker symbol for Macy's, Inc., a major American department store chain.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551d5d7481908528c2de0a6fda06 |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f61fa6d88190b98810b542835817 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f68a994c8190a5b524a4db16b097 |
completed | March 15, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_69b5f6ece3b08190b880743e9fe4dbad |
completed | March 15, 2026, 12:01 a.m. |
Created at: March 12, 2026, 11:29 p.m.