Triple
T20771103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey Howard |
E511232
|
entity |
| Predicate | isAmbiguousWith |
P2289
|
FINISHED |
| Object |
Geoff Howard
Geoff Howard is a name shared by multiple individuals, including public figures such as politicians and professionals in various fields.
|
E1451920
|
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 Howard | Statement: [Geoffrey Howard, isAmbiguousWith, Geoff Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoff Howard Context triple: [Geoffrey Howard, isAmbiguousWith, Geoff Howard]
-
A.
Geoff Morrow
Geoff Morrow is a British songwriter and music producer known for penning pop hits recorded by artists such as Barry Manilow and Elvis Presley.
-
B.
Geoff Hall
Geoff Hall is a cinematographer known for his work on the Australian film "Red Dog."
-
C.
Geoff Travis
Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
-
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 McQueen
Geoff McQueen was a British television writer and producer best known for creating several popular crime and police drama series.
- 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 Howard Triple: [Geoffrey Howard, isAmbiguousWith, Geoff Howard]
Generated description
Geoff Howard is a name shared by multiple individuals, including public figures such as politicians and professionals in various fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Geoff Howard Target entity description: Geoff Howard is a name shared by multiple individuals, including public figures such as politicians and professionals in various fields.
-
A.
Geoff Morrow
Geoff Morrow is a British songwriter and music producer known for penning pop hits recorded by artists such as Barry Manilow and Elvis Presley.
-
B.
Geoff Hall
Geoff Hall is a cinematographer known for his work on the Australian film "Red Dog."
-
C.
Geoff Travis
Geoff Travis is a British music industry figure best known as the founder of the influential independent label Rough Trade Records.
-
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 McQueen
Geoff McQueen was a British television writer and producer best known for creating several popular crime and police drama series.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c266f4b48190891c0db3e322bb23 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0900654c188190bdf9e027bb361012 |
completed | May 16, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_6a090129cbc88190b72be66b1453d4ac |
completed | May 16, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0901950c1c8190befa72dc20236b9e |
completed | May 16, 2026, 11:45 p.m. |
Created at: April 16, 2026, 12:36 p.m.