Triple
T5711858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Gold |
E125927
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Spin
Spin is a publication known for its coverage of music, culture, and entertainment.
|
E541638
|
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: Spin | Statement: [Jonathan Gold, employer, Spin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spin Context triple: [Jonathan Gold, employer, Spin]
-
A.
Spun
Spun is a darkly comic 2002 crime film about methamphetamine addicts, directed by Jonas Åkerlund and featuring Jason Schwartzman in a leading role.
-
B.
The Spinner
The Spinner is a painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined handling of light, texture, and everyday genre subjects.
-
C.
Spiralling
"Spiralling" is a song by the English alternative rock band Keane, known for its upbeat, synth-driven sound and departure from their earlier piano-rock style.
-
D.
Spiral
"Spiral" is a notable work by filmmaker Mark Burg, best known as a producer in the horror and thriller genres.
-
E.
Spiral
Spiral is a distinctive modern architectural complex in Tokyo’s Aoyama district known for its spiral ramp design and role as a cultural and commercial hub.
- 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: Spin Triple: [Jonathan Gold, employer, Spin]
Generated description
Spin is a publication known for its coverage of music, culture, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spin Target entity description: Spin is a publication known for its coverage of music, culture, and entertainment.
-
A.
Spun
Spun is a darkly comic 2002 crime film about methamphetamine addicts, directed by Jonas Åkerlund and featuring Jason Schwartzman in a leading role.
-
B.
The Spinner
The Spinner is a painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined handling of light, texture, and everyday genre subjects.
-
C.
Spiralling
"Spiralling" is a song by the English alternative rock band Keane, known for its upbeat, synth-driven sound and departure from their earlier piano-rock style.
-
D.
Spiral
"Spiral" is a notable work by filmmaker Mark Burg, best known as a producer in the horror and thriller genres.
-
E.
Spiral
Spiral is a distinctive modern architectural complex in Tokyo’s Aoyama district known for its spiral ramp design and role as a cultural and commercial hub.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024b386a08190bd2738d93861edc2 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a72181081909209a38c3ff7460b |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05cd2dea88190bc79ca0a7709e7ca |
completed | March 22, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d8c85f88190a1a962794eeecd8d |
completed | March 22, 2026, 9:22 p.m. |
Created at: March 22, 2026, 3:46 p.m.