Triple
T14350358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghostdini: Wizard of Poetry in Emerald City |
E355835
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jim Bond
Jim Bond is a music producer known for his work on Ghostface Killah’s album "Ghostdini: Wizard of Poetry in Emerald City."
|
E1095200
|
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: Jim Bond | Statement: [Ghostdini: Wizard of Poetry in Emerald City, producer, Jim Bond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Bond Context triple: [Ghostdini: Wizard of Poetry in Emerald City, producer, Jim Bond]
-
A.
Jack Bond
Jack Bond is a British film and television director known for his work on music videos and collaborations with prominent artists.
-
B.
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.
-
C.
Guy Fleming
Guy Fleming was a prominent American naturalist and conservationist known for his key role in preserving the Torrey Pines area in California.
-
D.
JC Bond
JC Bond is a film editor known for working on the movie "Big Eyes."
-
E.
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.
- 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: Jim Bond Triple: [Ghostdini: Wizard of Poetry in Emerald City, producer, Jim Bond]
Generated description
Jim Bond is a music producer known for his work on Ghostface Killah’s album "Ghostdini: Wizard of Poetry in Emerald City."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Bond Target entity description: Jim Bond is a music producer known for his work on Ghostface Killah’s album "Ghostdini: Wizard of Poetry in Emerald City."
-
A.
Jack Bond
Jack Bond is a British film and television director known for his work on music videos and collaborations with prominent artists.
-
B.
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.
-
C.
Guy Fleming
Guy Fleming was a prominent American naturalist and conservationist known for his key role in preserving the Torrey Pines area in California.
-
D.
JC Bond
JC Bond is a film editor known for working on the movie "Big Eyes."
-
E.
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.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4e1e588190bdc7aaf7a2819948 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4335e481909d4db39b8d25edc9 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4e795948819097c43e30902f1654 |
completed | May 8, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f04d7ec819095b64d4811440166 |
completed | May 8, 2026, 2:48 a.m. |
Created at: April 10, 2026, 1:14 a.m.