Triple

T1051614
Position Surface form Disambiguated ID Type / Status
Subject Thomas Pike E22710 entity
Predicate familyName P18 FINISHED
Object Pike
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
E121062 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: Pike | Statement: [Thomas Pike, familyName, Pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pike
Context triple: [Thomas Pike, familyName, Pike]
  • A. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • B. Pekela
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • C. The Helena
    The Helena is a prominent eco-friendly luxury residential skyscraper in Manhattan, New York City, developed by The Durst Organization.
  • D. Muscovy
    Muscovy was a late medieval and early modern Russian principality centered on Moscow that expanded to form the core of the Russian state.
  • E. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • 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: Pike
Triple: [Thomas Pike, familyName, Pike]
Generated description
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pike
Target entity description: Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
  • A. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • B. Pekela
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • C. The Helena
    The Helena is a prominent eco-friendly luxury residential skyscraper in Manhattan, New York City, developed by The Durst Organization.
  • D. Muscovy
    Muscovy was a late medieval and early modern Russian principality centered on Moscow that expanded to form the core of the Russian state.
  • E. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b5312081909796df58fa7c1e9d completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bcf04448190af136ca4f037547b completed March 7, 2026, 2:53 p.m.
NEDg Description generation batch_69ac3c9a92008190a6336626faed36bd completed March 7, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69ac3d0fcdb88190b4c5e5ddf41e2716 completed March 7, 2026, 2:58 p.m.
Created at: March 1, 2026, 7:42 p.m.