Triple
T14552276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moss |
E341447
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Malcolm Moss
Malcolm Moss is a British Conservative politician who served as Member of Parliament for North East Cambridgeshire from 1987 to 2010.
|
E1111437
|
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: Malcolm Moss | Statement: [Moss, hasNotableBearer, Malcolm Moss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malcolm Moss Context triple: [Moss, hasNotableBearer, Malcolm Moss]
-
A.
Malcolm Moore
Malcolm Moore is a musician known for his performance work associated with the album "All the Lost Souls."
-
B.
Malcolm Simpson
Malcolm Simpson is a notable individual distinguished enough to be recognized as a prominent bearer of the Simpson surname.
-
C.
John Moss
John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
-
D.
Malcolm Sharp
Malcolm Sharp is a relatively obscure individual whose specific achievements or public role are not widely documented.
-
E.
Malcolm McDonald
Malcolm McDonald is a British marketing scholar and author renowned for his influential work on marketing planning and strategy.
- 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: Malcolm Moss Triple: [Moss, hasNotableBearer, Malcolm Moss]
Generated description
Malcolm Moss is a British Conservative politician who served as Member of Parliament for North East Cambridgeshire from 1987 to 2010.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malcolm Moss Target entity description: Malcolm Moss is a British Conservative politician who served as Member of Parliament for North East Cambridgeshire from 1987 to 2010.
-
A.
Malcolm Moore
Malcolm Moore is a musician known for his performance work associated with the album "All the Lost Souls."
-
B.
Malcolm Simpson
Malcolm Simpson is a notable individual distinguished enough to be recognized as a prominent bearer of the Simpson surname.
-
C.
John Moss
John Moss is a tough, streetwise New York City detective who serves as one of the main protagonists in the action-comedy film "The Hard Way."
-
D.
Malcolm Sharp
Malcolm Sharp is a relatively obscure individual whose specific achievements or public role are not widely documented.
-
E.
Malcolm McDonald
Malcolm McDonald is a British marketing scholar and author renowned for his influential work on marketing planning and strategy.
- F. None of above. chosen
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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c3d1d881909ed7e75aae7b08d9 |
completed | May 8, 2026, 12:23 p.m. |
| NEDg | Description generation | batch_69fdd74cc4048190bae5f75d922c9618 |
completed | May 8, 2026, 12:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd7bd20748190b9145ef14ce2759b |
completed | May 8, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:23 a.m.