Triple
T8705438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Locus |
E206635
|
entity |
| Predicate | hasColumnist |
P10455
|
FINISHED |
| Object |
Graham Sleight
Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
|
E760392
|
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: Graham Sleight | Statement: [Locus, hasColumnist, Graham Sleight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham Sleight Context triple: [Locus, hasColumnist, Graham Sleight]
-
A.
Graham Sharp
Graham Sharp is an American banjo player, singer, and songwriter best known as a founding member of the bluegrass band Steep Canyon Rangers.
-
B.
Graham Crowley
Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since the late 20th century.
-
C.
Jon Cornish
Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
-
D.
Graham Roland
Graham Roland is an American television writer and producer known for developing and writing action and thriller series, including co-creating the Tom Clancy adaptation "Jack Ryan."
-
E.
Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
- 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: Graham Sleight Triple: [Locus, hasColumnist, Graham Sleight]
Generated description
Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graham Sleight Target entity description: Graham Sleight is a British critic and editor best known for his work in science fiction and fantasy literature.
-
A.
Graham Sharp
Graham Sharp is an American banjo player, singer, and songwriter best known as a founding member of the bluegrass band Steep Canyon Rangers.
-
B.
Graham Crowley
Graham Crowley is a British painter known for his figurative and landscape works and for his influential role in contemporary British art since the late 20th century.
-
C.
Jon Cornish
Jon Cornish is a former Canadian Football League star running back who became a prominent community leader and chancellor of the University of Calgary.
-
D.
Graham Roland
Graham Roland is an American television writer and producer known for developing and writing action and thriller series, including co-creating the Tom Clancy adaptation "Jack Ryan."
-
E.
Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58fb43f081909df5d1e31cb1ec04 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf88cf76888190a0cdab7f30c791c7 |
completed | April 3, 2026, 9:30 a.m. |
| NEDg | Description generation | batch_69cf8a3d8e548190911d44ee36875d44 |
completed | April 3, 2026, 9:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8ae86e1881908a77f660c061bf69 |
completed | April 3, 2026, 9:39 a.m. |
Created at: March 30, 2026, 6:34 p.m.