Triple
T14304594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eltham |
E354659
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object |
Lee Green
Lee Green is a district in southeast London, England, known as a residential and commercial area within the London Borough of Lewisham.
|
E1091693
|
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: Lee Green | Statement: [Eltham, nearbyPlace, Lee Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Green Context triple: [Eltham, nearbyPlace, Lee Green]
-
A.
Karl Green
Karl Green is an English bassist and singer best known as a longtime member of the 1960s pop group Herman's Hermits.
-
B.
Jerry Greenfield
Jerry Greenfield is an American businessman and philanthropist best known as the co-founder of the ice cream company Ben & Jerry's.
-
C.
Jack Greene
Jack Greene was an American country music singer best known for his 1960s and 1970s hits like "There Goes My Everything" and for his long association with the Grand Ole Opry.
-
D.
Garland Greene
Garland Greene is a notorious, eerily soft-spoken serial killer character from the action film "Con Air," portrayed by Steve Buscemi.
-
E.
Jerry Scoggins
Jerry Scoggins was an American country and western singer best known for performing the theme song to the classic television sitcom "The Beverly Hillbillies."
- 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: Lee Green Triple: [Eltham, nearbyPlace, Lee Green]
Generated description
Lee Green is a district in southeast London, England, known as a residential and commercial area within the London Borough of Lewisham.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Green Target entity description: Lee Green is a district in southeast London, England, known as a residential and commercial area within the London Borough of Lewisham.
-
A.
Karl Green
Karl Green is an English bassist and singer best known as a longtime member of the 1960s pop group Herman's Hermits.
-
B.
Jerry Greenfield
Jerry Greenfield is an American businessman and philanthropist best known as the co-founder of the ice cream company Ben & Jerry's.
-
C.
Jack Greene
Jack Greene was an American country music singer best known for his 1960s and 1970s hits like "There Goes My Everything" and for his long association with the Grand Ole Opry.
-
D.
Garland Greene
Garland Greene is a notorious, eerily soft-spoken serial killer character from the action film "Con Air," portrayed by Steve Buscemi.
-
E.
Jerry Scoggins
Jerry Scoggins was an American country and western singer best known for performing the theme song to the classic television sitcom "The Beverly Hillbillies."
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85afabe48190926d6098047f4bcf |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2a56a4819095b5c2164b1ad9fb |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3edf42788190b50b1144a7de41df |
completed | May 8, 2026, 1:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3fbd931081908ba0b1838d9be49c |
completed | May 8, 2026, 1:43 a.m. |
Created at: April 10, 2026, 1:12 a.m.