Triple
T14553757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Story of the Year |
E341483
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object |
John Bond
John Bond is a musician best known as a former member of the American rock band Story of the Year.
|
E1106326
|
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: John Bond | Statement: [Story of the Year, hasFormerMember, John Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bond Context triple: [Story of the Year, hasFormerMember, John Bond]
-
A.
James Bond
James Bond is a fictional British secret agent, code-named 007, known for his espionage missions, suave demeanor, and presence in a long-running series of novels and films.
-
B.
Guy Fleming
Guy Fleming was a prominent American naturalist and conservationist known for his key role in preserving the Torrey Pines area in California.
-
C.
Jack Bond
Jack Bond is a British film and television director known for his work on music videos and collaborations with prominent artists.
-
D.
John Bond (police officer)
John Bond is a British forensic scientist and police officer known for pioneering techniques to recover fingerprints from spent bullet casings and other challenging surfaces.
-
E.
Jim Bond
Jim Bond is a music producer known for his work on Ghostface Killah’s album "Ghostdini: Wizard of Poetry in Emerald City."
- 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: John Bond Triple: [Story of the Year, hasFormerMember, John Bond]
Generated description
John Bond is a musician best known as a former member of the American rock band Story of the Year.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Bond Target entity description: John Bond is a musician best known as a former member of the American rock band Story of the Year.
-
A.
James Bond
James Bond is a fictional British secret agent, code-named 007, known for his espionage missions, suave demeanor, and presence in a long-running series of novels and films.
-
B.
Guy Fleming
Guy Fleming was a prominent American naturalist and conservationist known for his key role in preserving the Torrey Pines area in California.
-
C.
Jack Bond
Jack Bond is a British film and television director known for his work on music videos and collaborations with prominent artists.
-
D.
John Bond (police officer)
John Bond is a British forensic scientist and police officer known for pioneering techniques to recover fingerprints from spent bullet casings and other challenging surfaces.
-
E.
Jim Bond
Jim Bond is a music producer known for his work on Ghostface Killah’s album "Ghostdini: Wizard of Poetry in Emerald City."
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab9a5ac81908779a3c8701353fa |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8be7d8988190807d4db477b91de0 |
completed | May 8, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8d4f2e848190a3c4c423c0ffed50 |
completed | May 8, 2026, 7:14 a.m. |
Created at: April 10, 2026, 1:23 a.m.