Triple

T17661722
Position Surface form Disambiguated ID Type / Status
Subject SCExAO E440267 entity
Predicate associatedInstrument P20719 FINISHED
Object FIRST
FIRST is an astronomical instrument module designed for high-resolution, interferometric imaging when used in conjunction with advanced adaptive optics systems like SCExAO.
 E1281550 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: FIRST | Statement: [SCExAO, associatedInstrument, FIRST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FIRST
Context triple: [SCExAO, associatedInstrument, FIRST]
  • A. FIRST
    FIRST (For Inspiration and Recognition of Science and Technology) is an international youth organization that runs robotics competitions and programs to inspire students’ interest and participation in science, technology, engineering, and math.
  • B. First
    First is a surname most notably associated with Ruth First, a South African anti-apartheid activist, journalist, and scholar.
  • C. Unua
    Unua is an Oceanic language spoken by a small community in Vanuatu.
  • D. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • E. IRST
    IRST (Iran Standard Time) is the time zone used throughout Iran, set 3.5 hours ahead of Coordinated Universal Time (UTC+3:30).
  • 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: FIRST
Triple: [SCExAO, associatedInstrument, FIRST]
Generated description
FIRST is an astronomical instrument module designed for high-resolution, interferometric imaging when used in conjunction with advanced adaptive optics systems like SCExAO.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FIRST
Target entity description: FIRST is an astronomical instrument module designed for high-resolution, interferometric imaging when used in conjunction with advanced adaptive optics systems like SCExAO.
  • A. FIRST
    FIRST (For Inspiration and Recognition of Science and Technology) is an international youth organization that runs robotics competitions and programs to inspire students’ interest and participation in science, technology, engineering, and math.
  • B. First
    First is a surname most notably associated with Ruth First, a South African anti-apartheid activist, journalist, and scholar.
  • C. Unua
    Unua is an Oceanic language spoken by a small community in Vanuatu.
  • D. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • E. IRST
    IRST (Iran Standard Time) is the time zone used throughout Iran, set 3.5 hours ahead of Coordinated Universal Time (UTC+3:30).
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea67f8081909da164ca21a98675 completed April 19, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02165c9a4481909a6c43b2b58e1fc8 completed May 11, 2026, 5:48 p.m.
NEDg Description generation batch_6a021f80092c81909a1827561ed69f17 completed May 11, 2026, 6:27 p.m.
NED2 Entity disambiguation (via description) batch_6a021fe90da48190810c7aa2c2de2801 completed May 11, 2026, 6:28 p.m.
Created at: April 10, 2026, 9:43 a.m.