Triple
T23330950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Londonbeat |
E591437
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Marc Goldschmitz
Marc Goldschmitz is a musician best known as a member of the British-American dance-pop band Londonbeat.
|
E1579642
|
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: Marc Goldschmitz | Statement: [Londonbeat, member, Marc Goldschmitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Goldschmitz Context triple: [Londonbeat, member, Marc Goldschmitz]
-
A.
Michael Tadross
Michael Tadross is an American film producer known for working on major Hollywood productions, including big-budget action and fantasy films.
-
B.
Michael Reisz
Michael Reisz is an American voice actor and writer best known for his work in animated television series and video games.
-
C.
Mark Goldblatt
Mark Goldblatt is an American film editor best known for his work on high-profile action movies such as The Terminator, Predator 2, and Rambo: First Blood Part II.
-
D.
Jonathan Gledhill
Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
-
E.
David Soward
David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
- 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: Marc Goldschmitz Triple: [Londonbeat, member, Marc Goldschmitz]
Generated description
Marc Goldschmitz is a musician best known as a member of the British-American dance-pop band Londonbeat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marc Goldschmitz Target entity description: Marc Goldschmitz is a musician best known as a member of the British-American dance-pop band Londonbeat.
-
A.
Michael Tadross
Michael Tadross is an American film producer known for working on major Hollywood productions, including big-budget action and fantasy films.
-
B.
Michael Reisz
Michael Reisz is an American voice actor and writer best known for his work in animated television series and video games.
-
C.
Mark Goldblatt
Mark Goldblatt is an American film editor best known for his work on high-profile action movies such as The Terminator, Predator 2, and Rambo: First Blood Part II.
-
D.
Jonathan Gledhill
Jonathan Gledhill was an English Anglican bishop who served in senior episcopal roles in the Church of England, including as Bishop of Stafford.
-
E.
David Soward
David Soward is an entrepreneur best known as a co-founder of the cosmetics brand Urban Decay, which helped popularize edgy, alternative makeup in the 1990s.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197ece360819099da8443dd86a355 |
completed | April 29, 2026, 5:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4cb082f881909256738232b060b9 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4e669b6481909f198d1c51b68bf3 |
completed | May 19, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4f011a188190b801f2ae0f134356 |
completed | May 19, 2026, 11:52 a.m. |
Created at: April 17, 2026, 5:15 p.m.