Triple

T9450110
Position Surface form Disambiguated ID Type / Status
Subject Philip M. Landrum E227865 entity
Predicate givenName P17 FINISHED
Object Philip
Philip is the first name of Philip M. Landrum, an American politician who served as a U.S. Representative from Georgia.
E799514 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: Philip | Statement: [Philip M. Landrum, givenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip
Context triple: [Philip M. Landrum, givenName, Philip]
  • A. Philip
    Philip was the given name of Philip V, the first Bourbon king of Spain who reigned in the early 18th century.
  • B. Philip
    Philip is the given first name of Phil Esposito, the Hall of Fame Canadian ice hockey center and former NHL star.
  • C. Philip
    Philip is one of the Twelve Apostles of Jesus in Christian tradition, recognized as an early follower and messenger of Christ.
  • D. Philip
    Philip is the given first name of the renowned British actor Basil Rathbone, best known for his definitive film portrayals of Sherlock Holmes.
  • E. Philip
    Philip is the given name of Philip Barton Key II, the 19th-century U.S. Attorney for the District of Columbia whose 1859 murder by Congressman Daniel Sickles became a landmark legal case.
  • 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: Philip
Triple: [Philip M. Landrum, givenName, Philip]
Generated description
Philip is the first name of Philip M. Landrum, an American politician who served as a U.S. Representative from Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philip
Target entity description: Philip is the first name of Philip M. Landrum, an American politician who served as a U.S. Representative from Georgia.
  • A. Philip
    Philip is the given first name of Phil Murphy, the American politician serving as governor of New Jersey.
  • B. Philip
    Philip is the first name of Philip Roth, the acclaimed American novelist known for works such as "Portnoy’s Complaint" and "American Pastoral."
  • C. Philip
    Philip is the given name of Philip Sheridan, a prominent Union general in the American Civil War who later became Commanding General of the U.S. Army.
  • D. Philip
    Philip is the given first name of American comedian and actor Phil Silvers, famed for his role as Sgt. Bilko.
  • E. Philip
    Philip is the given name of the late American actor and director Philip Seymour Hoffman, renowned for his intense, character-driven performances.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f6649a48190b6844daa6202efe5 completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11070e91c8190bd793126049ead27 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111113c5c81909ff654734b211753 completed April 4, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d111ab40a48190bb77c1cf80ef87a8 completed April 4, 2026, 1:27 p.m.
Created at: March 30, 2026, 7:51 p.m.