Triple

T23124739
Position Surface form Disambiguated ID Type / Status
Subject Morgan Saylor E576996 entity
Predicate familyName P18 FINISHED
Object Saylor
Saylor is a surname most notably associated with American actress Morgan Saylor, known for her role in the television series "Homeland."
E1570956 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: Saylor | Statement: [Morgan Saylor, familyName, Saylor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saylor
Context triple: [Morgan Saylor, familyName, Saylor]
  • A. Sakai
    Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
  • B. Langway
    Langway is the surname of Rod Langway, a Hall of Fame National Hockey League defenseman known for his defensive prowess with the Washington Capitals.
  • C. SLC
    SLC is a collegiate athletic conference in the NCAA Division I primarily comprising universities from the South Central United States.
  • D. SLC
    SLC is the commonly used abbreviation for the UK government-owned Student Loans Company, which administers student loans and grants for higher and further education.
  • E. SLC
    SLC is a former high-energy electron–positron linear collider at the SLAC National Accelerator Laboratory that was used for precision studies of the Z boson and electroweak interactions.
  • 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: Saylor
Triple: [Morgan Saylor, familyName, Saylor]
Generated description
Saylor is a surname most notably associated with American actress Morgan Saylor, known for her role in the television series "Homeland."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saylor
Target entity description: Saylor is a surname most notably associated with American actress Morgan Saylor, known for her role in the television series "Homeland."
  • A. Sakai
    Sakai is a major Japanese city in Osaka Prefecture known historically as a prosperous port and merchant center and today as an important industrial and cultural hub.
  • B. Langway
    Langway is the surname of Rod Langway, a Hall of Fame National Hockey League defenseman known for his defensive prowess with the Washington Capitals.
  • C. SLC
    SLC is a collegiate athletic conference in the NCAA Division I primarily comprising universities from the South Central United States.
  • D. SLC
    SLC is the commonly used abbreviation for the UK government-owned Student Loans Company, which administers student loans and grants for higher and further education.
  • E. SLC
    SLC is the governing body responsible for overseeing and developing the sport of cricket in Sri Lanka.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e53ac288190b27fe8064fb576c2 completed April 29, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23f25dec8190984bc2dafd008a48 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271e8a8c8190ba994f557f077288 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27d3befc8190bc7a3697bc0e817b completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.