Triple
T6477090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Seger |
E146098
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Seger
Seger is the surname of American rock singer-songwriter and musician Bob Seger, known for hits like "Night Moves" and "Old Time Rock and Roll."
|
E146098
|
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: Seger | Statement: [Bob Seger, familyName, Seger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seger Context triple: [Bob Seger, familyName, Seger]
-
A.
Bob Seger
Bob Seger is an American rock singer-songwriter and musician known for his raspy voice and heartland rock anthems such as "Night Moves" and "Old Time Rock and Roll."
-
B.
Dobie Gray
Dobie Gray was an American singer and songwriter best known for his soulful hit "Drift Away," which became a classic of 1970s pop and rock music.
-
C.
Bo Welch
Bo Welch is an American production designer and film director known for his imaginative visual work on films such as "Beetlejuice," "Edward Scissorhands," and "Men in Black."
-
D.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
-
E.
Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
- 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: Seger Triple: [Bob Seger, familyName, Seger]
Generated description
Seger is the surname of American rock singer-songwriter and musician Bob Seger, known for hits like "Night Moves" and "Old Time Rock and Roll."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seger Target entity description: Seger is the surname of American rock singer-songwriter and musician Bob Seger, known for hits like "Night Moves" and "Old Time Rock and Roll."
-
A.
Bob Seger
chosen
Bob Seger is an American rock singer-songwriter and musician known for his raspy voice and heartland rock anthems such as "Night Moves" and "Old Time Rock and Roll."
-
B.
Dobie Gray
Dobie Gray was an American singer and songwriter best known for his soulful hit "Drift Away," which became a classic of 1970s pop and rock music.
-
C.
Bo Welch
Bo Welch is an American production designer and film director known for his imaginative visual work on films such as "Beetlejuice," "Edward Scissorhands," and "Men in Black."
-
D.
Tom Bell
Tom Bell was an American football official best known for serving as the referee in Super Bowl III.
-
E.
Tom Bell
Tom Bell was a British character actor known for his intense, gritty performances in film and television from the 1960s onward.
- F. None of above.
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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4ba9588190a965b9e7feb7e598 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c66382f9ac81908d9cb444ab596d04 |
completed | March 27, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69c6646fa43c819085338458113e5bf9 |
completed | March 27, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c664d154dc81908d48056d272c56fa |
completed | March 27, 2026, 11:06 a.m. |
Created at: March 22, 2026, 4:51 p.m.