Triple

T22017823
Position Surface form Disambiguated ID Type / Status
Subject Frank Bidart E543757 entity
Predicate notableWork P4 FINISHED
Object Star Dust
Star Dust is a critically acclaimed poetry collection by American poet Frank Bidart, known for its intense psychological depth and innovative dramatic monologues.
 E1513869 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: Star Dust | Statement: [Frank Bidart, notableWork, Star Dust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Star Dust
Context triple: [Frank Bidart, notableWork, Star Dust]
  • A. Starlight
    Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
  • B. Starlight
    Starlight is a poetic, flowing track that contributes to the serene, atmospheric soundscape of the album *Flowing Rivers*.
  • C. Starlight
    Starlight was the original name of a long-distance passenger train route that later became known as Amtrak’s Coast Starlight, running along the U.S. West Coast.
  • D. Starlight
    Starlight is a science fiction comic book series written by Mark Millar that follows an aging former space hero called back for one last adventure.
  • E. Starlight
    "Starlight" is a popular song by the English rock band Muse, known for its anthemic chorus and prominent piano-driven melody.
  • 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: Star Dust
Triple: [Frank Bidart, notableWork, Star Dust]
Generated description
Star Dust is a critically acclaimed poetry collection by American poet Frank Bidart, known for its intense psychological depth and innovative dramatic monologues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Star Dust
Target entity description: Star Dust is a critically acclaimed poetry collection by American poet Frank Bidart, known for its intense psychological depth and innovative dramatic monologues.
  • A. Starlight
    Starlight is a fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
  • B. Starlight
    Starlight is a science fiction comic book series written by Mark Millar that follows an aging former space hero called back for one last adventure.
  • C. Starlight
    "Starlight" is a popular song by the English rock band Muse, known for its anthemic chorus and prominent piano-driven melody.
  • D. Starlight
    Starlight is a light, warm-toned neutral finish used by Apple on the iPhone 13, blending elements of silver and soft gold.
  • E. Starlight
    Starlight is a poetic, flowing track that contributes to the serene, atmospheric soundscape of the album *Flowing Rivers*.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c4e0088190a5241d1b87d746da completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7381c4b8819086514b9422cd6a0c completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a74e81da881908c73d864258dcdd5 completed May 18, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75ce1ed88190be60d0ed29a056ba completed May 18, 2026, 2:13 a.m.
Created at: April 16, 2026, 8:23 p.m.