Triple

T989336
Position Surface form Disambiguated ID Type / Status
Subject Warren E. Burger E21351 entity
Predicate familyName P18 FINISHED
Object Burger
Burger is a common German-origin surname borne by various notable individuals, including former U.S. Chief Justice Warren E. Burger.
 E117619 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: Burger | Statement: [Warren E. Burger, familyName, Burger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burger
Context triple: [Warren E. Burger, familyName, Burger]
  • A. Sandwich
    Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
  • B. SANDWICH
    SANDWICH is a historic town in Kent, England, known as one of the best-preserved medieval towns in the country.
  • C. Bacon
    Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
  • D. Philly Special
    Philly Special is a famous trick play involving a reverse and a touchdown pass to the quarterback, used by the Philadelphia Eagles in Super Bowl LII and now iconic in NFL history.
  • E. Carnes
    Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
  • 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: Burger
Triple: [Warren E. Burger, familyName, Burger]
Generated description
Burger is a common German-origin surname borne by various notable individuals, including former U.S. Chief Justice Warren E. Burger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burger
Target entity description: Burger is a common German-origin surname borne by various notable individuals, including former U.S. Chief Justice Warren E. Burger.
  • A. Sandwich
    Sandwich is a historic town on Cape Cod in Massachusetts, known as one of the oldest settlements in New England and a popular coastal tourist destination.
  • B. SANDWICH
    SANDWICH is a historic town in Kent, England, known as one of the best-preserved medieval towns in the country.
  • C. Bacon
    Bacon is a common English surname historically associated with notable figures such as the philosopher and statesman Francis Bacon.
  • D. Philly Special
    Philly Special is a famous trick play involving a reverse and a touchdown pass to the quarterback, used by the Philadelphia Eagles in Super Bowl LII and now iconic in NFL history.
  • E. Carnes
    Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4aa16f081909dcc7a7ce3fb1b64 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac258d9f4c8190b285455410b30575 completed March 7, 2026, 1:18 p.m.
NEDg Description generation batch_69ac267e4fa08190895fa6809d0decb8 completed March 7, 2026, 1:22 p.m.
NED2 Entity disambiguation (via description) batch_69ac271c8ad081909c1f1629e0793c40 completed March 7, 2026, 1:24 p.m.
Created at: March 1, 2026, 7:41 p.m.