Triple
T13448676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 45 Years |
E320549
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Geoff Mercer
Geoff Mercer is the middle-aged protagonist of the British drama film "45 Years," whose long marriage is tested by the resurfacing of a past love.
|
E1040260
|
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: Geoff Mercer | Statement: [45 Years, mainCharacter, Geoff Mercer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Mercer Context triple: [45 Years, mainCharacter, Geoff Mercer]
-
A.
Geoff Rowe
Geoff Rowe is a British comedy promoter and producer best known as the creator and driving force behind the Leicester Comedy Festival.
-
B.
Geoff Neal
Geoff Neal is an American mixed martial artist and powerful striker who competes in the UFC welterweight division.
-
C.
Geoff Pierson
Geoff Pierson is an American actor known for his work in television dramas and comedies, including prominent roles on shows like Dexter and Unhappily Ever After.
-
D.
Geoff Regan
Geoff Regan is a Canadian Liberal politician who served as Speaker of the House of Commons and as a longtime Member of Parliament from Nova Scotia.
-
E.
Geoff Travis
Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
- 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: Geoff Mercer Triple: [45 Years, mainCharacter, Geoff Mercer]
Generated description
Geoff Mercer is the middle-aged protagonist of the British drama film "45 Years," whose long marriage is tested by the resurfacing of a past love.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geoff Mercer Target entity description: Geoff Mercer is the middle-aged protagonist of the British drama film "45 Years," whose long marriage is tested by the resurfacing of a past love.
-
A.
Geoff Rowe
Geoff Rowe is a British comedy promoter and producer best known as the creator and driving force behind the Leicester Comedy Festival.
-
B.
Geoff Neal
Geoff Neal is an American mixed martial artist and powerful striker who competes in the UFC welterweight division.
-
C.
Geoff Pierson
Geoff Pierson is an American actor known for his work in television dramas and comedies, including prominent roles on shows like Dexter and Unhappily Ever After.
-
D.
Geoff Regan
Geoff Regan is a Canadian Liberal politician who served as Speaker of the House of Commons and as a longtime Member of Parliament from Nova Scotia.
-
E.
Geoff Travis
Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaef758b08190b9aa5ec7082cd417 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73999f8388190b2c578e063341178 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73af2b37481908c4d282c1335fe08 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b959de88190959335353242031b |
completed | May 3, 2026, 12:12 p.m. |
Created at: April 9, 2026, 9:41 p.m.