Triple

T15839562
Position Surface form Disambiguated ID Type / Status
Subject Hitomi (ASTRO-H) E384066 entity
Predicate alsoKnownAs P39 FINISHED
Object Hitomi
Hitomi is a Japanese X-ray astronomy satellite (formerly known as ASTRO-H) designed to study high-energy phenomena in the universe, such as black holes and galaxy clusters.
 E1181738 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: Hitomi | Statement: [Hitomi (ASTRO-H), alsoKnownAs, Hitomi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hitomi
Context triple: [Hitomi (ASTRO-H), alsoKnownAs, Hitomi]
  • A. Hitomi
    Hitomi is a Japanese female given name commonly used in manga, anime, and Japanese popular culture.
  • B. Hitoshi
    Hitoshi is a Japanese given name commonly used for males.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Hoshi
    Hoshi is a South Korean singer, dancer, and choreographer best known as the performance team leader of the K-pop boy group Seventeen.
  • E. Misato
    Misato was a former municipality in Okinawa Prefecture, Japan, that was incorporated into the present-day city of Okinawa.
  • 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: Hitomi
Triple: [Hitomi (ASTRO-H), alsoKnownAs, Hitomi]
Generated description
Hitomi is a Japanese X-ray astronomy satellite (formerly known as ASTRO-H) designed to study high-energy phenomena in the universe, such as black holes and galaxy clusters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hitomi
Target entity description: Hitomi is a Japanese X-ray astronomy satellite (formerly known as ASTRO-H) designed to study high-energy phenomena in the universe, such as black holes and galaxy clusters.
  • A. Hitomi
    Hitomi is a Japanese female given name commonly used in manga, anime, and Japanese popular culture.
  • B. Hitoshi
    Hitoshi is a Japanese given name commonly used for males.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Hoshi
    Hoshi is a South Korean singer, dancer, and choreographer best known as the performance team leader of the K-pop boy group Seventeen.
  • E. Misato
    Misato was a former municipality in Okinawa Prefecture, Japan, that was incorporated into the present-day city of Okinawa.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e69360819091ea0556bd66d785 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa93ddce4819086174b2549f5e12b completed May 9, 2026, 9:38 p.m.
NEDg Description generation batch_69ffa9e9b17c8190b98d930fd5cb0723 completed May 9, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69ffaa973274819080889e1b9883b8dc completed May 9, 2026, 9:43 p.m.
Created at: April 10, 2026, 4:49 a.m.