Triple

T9009358
Position Surface form Disambiguated ID Type / Status
Subject Aichi B7A E215427 entity
Predicate alsoKnownAs P39 FINISHED
Object Shooting Star
The Aichi B7A "Shooting Star" was a Japanese World War II carrier-capable torpedo-dive bomber designed for the Imperial Japanese Navy.
E771142 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: Shooting Star | Statement: [Aichi B7A, alsoKnownAs, Shooting Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shooting Star
Context triple: [Aichi B7A, alsoKnownAs, Shooting Star]
  • A. Shooting Stars
    Shooting Stars is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
  • 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 fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
  • E. 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.
  • 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: Shooting Star
Triple: [Aichi B7A, alsoKnownAs, Shooting Star]
Generated description
The Aichi B7A "Shooting Star" was a Japanese World War II carrier-capable torpedo-dive bomber designed for the Imperial Japanese Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shooting Star
Target entity description: The Aichi B7A "Shooting Star" was a Japanese World War II carrier-capable torpedo-dive bomber designed for the Imperial Japanese Navy.
  • A. Shooting Stars
    Shooting Stars is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
  • 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 fictional character or element associated with the Evolver universe, likely representing a key component or aspect within that setting.
  • E. 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.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c00ae8819090786385a72e8baf completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0ec84348190944a2310a6a60448 completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd221047c8190ac6c375d516ec57e completed April 3, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfd2f99dd881909be1cb2b947b9b4e completed April 3, 2026, 2:47 p.m.
Created at: March 30, 2026, 7:06 p.m.