Triple

T27595961
Position Surface form Disambiguated ID Type / Status
Subject Fran Fine E699897 entity
Predicate employedAsNannyFor P135368 FINISHED
Object Sheffield family
The Sheffield family is the wealthy, upper-class New York household headed by Broadway producer Maxwell Sheffield in the sitcom "The Nanny," for whom Fran Fine works as a nanny.
 E1781356 NE FINISHED

How this triple was built (3 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: Sheffield family | Statement: [Fran Fine, employedAsNannyFor, Sheffield family]
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: Sheffield family
Triple: [Fran Fine, employedAsNannyFor, Sheffield family]
Generated description
The Sheffield family is the wealthy, upper-class New York household headed by Broadway producer Maxwell Sheffield in the sitcom "The Nanny," for whom Fran Fine works as a nanny.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: employedAsNannyFor
Context triple: [Fran Fine, employedAsNannyFor, Sheffield family]
  • A. hasChildCare
    Indicates that an entity provides, offers, or is associated with child care services or facilities for children.
  • B. sitterOf
    Indicates that one entity serves as a caretaker or babysitter responsible for looking after another entity.
  • C. hasNannyCharacter chosen
    Indicates that one entity serves as a nanny or caregiver character for another entity.
  • D. employedByFamily
    Indicates that a person is employed in a job or role by a family member or a family-owned entity.
  • E. householdStaff
    Indicates that one entity serves as domestic or household staff for another entity, typically within a private residence.
  • F. None of above.

Provenance (6 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_69ef6a4d71f081909a1235763206b691 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f67257b0448190a13011af81c81449 completed May 2, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0e115a48190a1314d7b0a6daa2d completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d18c931081909d1620e19d46e1c8 completed May 24, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a12d290bc5081909bd6c027b8a5b4d4 completed May 24, 2026, 10:27 a.m.
PD Predicate disambiguation batch_69f66ec3d3d48190ab2f2b71939e572e completed May 2, 2026, 9:38 p.m.
Created at: April 27, 2026, 2:06 p.m.