Triple

T18691911
Position Surface form Disambiguated ID Type / Status
Subject Grumman Tracker E457019 entity
Predicate introducedAs P513 FINISHED
Object S2F Tracker
The S2F Tracker is a twin-engine, carrier-based anti-submarine warfare aircraft developed by Grumman for the U.S. Navy during the Cold War.
E1336841 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: S2F Tracker | Statement: [Grumman Tracker, introducedAs, S2F Tracker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S2F Tracker
Context triple: [Grumman Tracker, introducedAs, S2F Tracker]
  • A. SFC
    SFC is the commonly used abbreviation for the Scottish Funding Council, the national body responsible for funding colleges and universities in Scotland.
  • B. SFC
    SFC is the commonly used abbreviation for Southampton Football Club, a professional English football team based in Southampton that competes in the English football league system.
  • C. SFC
    SFC is a Windows utility that scans for and repairs corrupted or missing system files to help maintain operating system stability.
  • D. SFC
    SFC is the common abbreviation for Sheffield F.C., widely recognized as the world’s oldest association football club.
  • E. Supatracks
    Supatracks is a music production entity known for creating beats and instrumentals, including work on the track "Recovery."
  • 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: S2F Tracker
Triple: [Grumman Tracker, introducedAs, S2F Tracker]
Generated description
The S2F Tracker is a twin-engine, carrier-based anti-submarine warfare aircraft developed by Grumman for the U.S. Navy during the Cold War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: S2F Tracker
Target entity description: The S2F Tracker is a twin-engine, carrier-based anti-submarine warfare aircraft developed by Grumman for the U.S. Navy during the Cold War.
  • A. SFC
    SFC is the commonly used abbreviation for the Scottish Funding Council, the national body responsible for funding colleges and universities in Scotland.
  • B. SFC
    SFC is the commonly used abbreviation for Southampton Football Club, a professional English football team based in Southampton that competes in the English football league system.
  • C. SFC
    SFC is a Windows utility that scans for and repairs corrupted or missing system files to help maintain operating system stability.
  • D. SFC
    SFC is the common abbreviation for Sheffield F.C., widely recognized as the world’s oldest association football club.
  • E. Supatracks
    Supatracks is a music production entity known for creating beats and instrumentals, including work on the track "Recovery."
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562e3a6d08190b2409bcbf0c42444 completed April 19, 2026, 11:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0523605508819089bce4771fe9f9f6 completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a0524a856888190beaa73c8223e3062 completed May 14, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a052510a97481908d05ff26c765a22d completed May 14, 2026, 1:27 a.m.
Created at: April 10, 2026, 11:49 a.m.