Triple
T8787053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elbow |
E209068
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mark Potter
Mark Potter is the guitarist for the English alternative rock band Elbow.
|
E756850
|
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: Mark Potter | Statement: [Elbow, hasMember, Mark Potter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Potter Context triple: [Elbow, hasMember, Mark Potter]
-
A.
Matt Potter
Matt Potter is an English football manager best known in the U.S. for coaching in the National Women's Soccer League, including a stint as head coach of the Kansas City Current.
-
B.
Jack Potter
Jack Potter is the central character of Stephen Crane's short story "The Bride Comes to Yellow Sky," a small-town marshal whose secret marriage disrupts the expectations of his rough Western community.
-
C.
Peter De Potter
Peter De Potter is a Belgian visual artist and graphic designer known for his conceptual, text-driven imagery and collaborations with musicians and fashion brands.
-
D.
Chris Poole
Chris Poole is a writer best known for his work on the film "In the Mix."
-
E.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
- 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: Mark Potter Triple: [Elbow, hasMember, Mark Potter]
Generated description
Mark Potter is the guitarist for the English alternative rock band Elbow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Potter Target entity description: Mark Potter is the guitarist for the English alternative rock band Elbow.
-
A.
Matt Potter
Matt Potter is an English football manager best known in the U.S. for coaching in the National Women's Soccer League, including a stint as head coach of the Kansas City Current.
-
B.
Jack Potter
Jack Potter is the central character of Stephen Crane's short story "The Bride Comes to Yellow Sky," a small-town marshal whose secret marriage disrupts the expectations of his rough Western community.
-
C.
Peter De Potter
Peter De Potter is a Belgian visual artist and graphic designer known for his conceptual, text-driven imagery and collaborations with musicians and fashion brands.
-
D.
Chris Poole
Chris Poole is a writer best known for his work on the film "In the Mix."
-
E.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f76f27c819087aadf768df5adbf |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf520678f48190a0af3df75df9b269 |
completed | April 3, 2026, 5:37 a.m. |
| NEDg | Description generation | batch_69cf5490df348190a31f300f0f4dae71 |
completed | April 3, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5565bc108190a283772608fd28de |
completed | April 3, 2026, 5:51 a.m. |
Created at: March 30, 2026, 6:43 p.m.