Triple
T6627979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gotham |
E149850
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object |
David E. Russo
David E. Russo is a television and film composer best known for scoring the DC Comics–inspired TV series "Gotham."
|
E624644
|
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 E. Russo | Statement: [Gotham, composer, David E. Russo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David E. Russo Context triple: [Gotham, composer, David E. Russo]
-
A.
Anthony T. Rossi
Anthony T. Rossi was an Italian-American entrepreneur best known as the founder of Tropicana, a major juice and beverage company.
-
B.
Richard J. Terrile
Richard J. Terrile is an American astronomer and planetary scientist known for discovering several moons of Neptune and contributing to planetary exploration missions.
-
C.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
D.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
E.
Richard C. Meyer
Richard C. Meyer was a film editor known for his work on mid-20th-century American movies, including Westerns and genre films.
- 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 E. Russo Triple: [Gotham, composer, David E. Russo]
Generated description
David E. Russo is a television and film composer best known for scoring the DC Comics–inspired TV series "Gotham."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David E. Russo Target entity description: David E. Russo is a television and film composer best known for scoring the DC Comics–inspired TV series "Gotham."
-
A.
Anthony T. Rossi
Anthony T. Rossi was an Italian-American entrepreneur best known as the founder of Tropicana, a major juice and beverage company.
-
B.
Richard J. Terrile
Richard J. Terrile is an American astronomer and planetary scientist known for discovering several moons of Neptune and contributing to planetary exploration missions.
-
C.
Michael Vavitch
Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
-
D.
Daniel L. Fapp
Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
-
E.
Richard C. Meyer
Richard C. Meyer was a film editor known for his work on mid-20th-century American movies, including Westerns and genre films.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa2e4a48190ba3c70013bab14f2 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7422f57848190901b31229825b9e2 |
completed | March 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69c7431d2d5881909daf29caeef37d0d |
completed | March 28, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c743949cbc8190a797666c7d509a1c |
completed | March 28, 2026, 2:57 a.m. |
Created at: March 27, 2026, 1:59 p.m.