Triple
T16122708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebadoh |
E391185
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Bob D'Amico
Bob D'Amico is an American drummer best known for his work with indie rock bands such as Sebadoh and The Fiery Furnaces.
|
E1196816
|
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: Bob D'Amico | Statement: [Sebadoh, hasMember, Bob D'Amico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob D'Amico Context triple: [Sebadoh, hasMember, Bob D'Amico]
-
A.
Nik D’Amato
Nik D’Amato is the central protagonist of the Australian film "Lantana," whose troubled personal life and relationships drive the movie’s intertwined drama.
-
B.
Joseph Edward Klecko
Joseph Edward Klecko is a former American football defensive lineman best known for his standout career with the New York Jets and membership in the famed "New York Sack Exchange."
-
C.
Christopher Barreca
Christopher Barreca is an American scenic designer known for his work on major stage productions, including the Broadway musical "Rocky."
-
D.
Michael Baum
Michael Baum is a television producer best known for serving as an executive producer on the reality series "Candidly Nicole."
-
E.
Andrew Klavan
Andrew Klavan is an American novelist and screenwriter best known for his suspense and crime thrillers, several of which have been adapted into 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: Bob D'Amico Triple: [Sebadoh, hasMember, Bob D'Amico]
Generated description
Bob D'Amico is an American drummer best known for his work with indie rock bands such as Sebadoh and The Fiery Furnaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob D'Amico Target entity description: Bob D'Amico is an American drummer best known for his work with indie rock bands such as Sebadoh and The Fiery Furnaces.
-
A.
Nik D’Amato
Nik D’Amato is the central protagonist of the Australian film "Lantana," whose troubled personal life and relationships drive the movie’s intertwined drama.
-
B.
Joseph Edward Klecko
Joseph Edward Klecko is a former American football defensive lineman best known for his standout career with the New York Jets and membership in the famed "New York Sack Exchange."
-
C.
Christopher Barreca
Christopher Barreca is an American scenic designer known for his work on major stage productions, including the Broadway musical "Rocky."
-
D.
Michael Baum
Michael Baum is a television producer best known for serving as an executive producer on the reality series "Candidly Nicole."
-
E.
Andrew Klavan
Andrew Klavan is an American novelist and screenwriter best known for his suspense and crime thrillers, several of which have been adapted into 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e202027e78819091192aa62aedde13 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a7fe308190a9a2ef7815e788c6 |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3b25ba081909c396431ace865ac |
completed | May 10, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff4a2964c8190bfa8c2fa0f934abe |
completed | May 10, 2026, 2:59 a.m. |
Created at: April 10, 2026, 5 a.m.