Triple
T18255873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hope |
E437221
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object |
David MacQueen
David MacQueen is a designer known for his work on the game "Hope."
|
E1348251
|
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: David MacQueen | Statement: [Hope, designer, David MacQueen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David MacQueen Context triple: [Hope, designer, David MacQueen]
-
A.
David MacQueen
David MacQueen is a computer scientist known for his influential work on the design and formal definition of the Standard ML programming language.
-
B.
James McAlister
James McAlister was an American running back best known for his standout college career at UCLA and subsequent professional play in both the NFL and the World Football League.
-
C.
James McAlister
James McAlister is an American drummer, producer, and multi-instrumentalist known for his work in indie and experimental music, including frequent collaborations with artists like Sufjan Stevens.
-
D.
David Cochrane
David Cochrane is a songwriter best known for his work on the Commodores’ hit single "Lady (You Bring Me Up)."
-
E.
David Semple
David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
- 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: David MacQueen Triple: [Hope, designer, David MacQueen]
Generated description
David MacQueen is a designer known for his work on the game "Hope."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David MacQueen Target entity description: David MacQueen is a designer known for his work on the game "Hope."
-
A.
David MacQueen
David MacQueen is a computer scientist known for his influential work on the design and formal definition of the Standard ML programming language.
-
B.
James McAlister
James McAlister was an American running back best known for his standout college career at UCLA and subsequent professional play in both the NFL and the World Football League.
-
C.
James McAlister
James McAlister is an American drummer, producer, and multi-instrumentalist known for his work in indie and experimental music, including frequent collaborations with artists like Sufjan Stevens.
-
D.
David Cochrane
David Cochrane is a songwriter best known for his work on the Commodores’ hit single "Lady (You Bring Me Up)."
-
E.
David Semple
David Semple was a British bacteriologist best known for developing an early anti-rabies vaccine while serving in the Indian Medical Service.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd85ee548190a102611fcf709ad4 |
completed | April 19, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05829917e4819093dc8ae6ed4cdb6a |
completed | May 14, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a05885e976c81909ca84e84920dcc2d |
completed | May 14, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0588d5399081908a959f47a7ea74d7 |
completed | May 14, 2026, 8:33 a.m. |
Created at: April 10, 2026, 10:34 a.m.