Triple
T6738833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreigner |
E154023
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Scott Gilman
Scott Gilman is a musician best known as a member of the British-American rock band Foreigner.
|
E617400
|
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: Scott Gilman | Statement: [Foreigner, hasPart, Scott Gilman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Gilman Context triple: [Foreigner, hasPart, Scott Gilman]
-
A.
David Frankel
David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
-
B.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
C.
Scott Rosenberg
Scott Rosenberg is an American screenwriter and producer known for writing high-profile films such as "Con Air," "Gone in 60 Seconds," and "High Fidelity."
-
D.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- 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: Scott Gilman Triple: [Foreigner, hasPart, Scott Gilman]
Generated description
Scott Gilman is a musician best known as a member of the British-American rock band Foreigner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Scott Gilman Target entity description: Scott Gilman is a musician best known as a member of the British-American rock band Foreigner.
-
A.
David Frankel
David Frankel is an American film and television director best known for helming popular works such as "The Devil Wears Prada" and episodes of "Sex and the City."
-
B.
Johnny Gandelsman
Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
-
C.
Scott Rosenberg
Scott Rosenberg is an American screenwriter and producer known for writing high-profile films such as "Con Air," "Gone in 60 Seconds," and "High Fidelity."
-
D.
Josh Kesselman
Josh Kesselman is a film and television producer best known for his work as an executive producer on projects such as the series "The Great."
-
E.
Michael Filerman
Michael Filerman was an American television producer best known for developing and producing popular prime-time soap operas during the 1970s and 1980s.
- 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1866dbc81909483fbd5ed6a3ec8 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a1aa948190b3e191c7be48ac0e |
completed | March 27, 2026, 11:28 p.m. |
| NEDg | Description generation | batch_69c713842b9c8190ae31eba0bd449968 |
completed | March 27, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71444e9ec8190a68531ed29fd9377 |
completed | March 27, 2026, 11:35 p.m. |
Created at: March 27, 2026, 2:10 p.m.