Triple

T9845693
Position Surface form Disambiguated ID Type / Status
Subject 13 Ghosts E239336 entity
Predicate mainCastMember P5563 FINISHED
Object Jo Morrow
Jo Morrow is an American actress best known for her film and television roles in the late 1950s and early 1960s.
E828753 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: Jo Morrow | Statement: [13 Ghosts, mainCastMember, Jo Morrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Morrow
Context triple: [13 Ghosts, mainCastMember, Jo Morrow]
  • A. Jan Morrow
    Jan Morrow is the witty, independent interior decorator played by Doris Day in the classic 1959 romantic comedy film "Pillow Talk."
  • B. Amanda Morrow
    Amanda Morrow is known as the former spouse of American politician and former Florida governor Charlie Crist.
  • C. Brice Morrow
    Brice Morrow is a person notable enough to be recognized as a bearer of the surname Morrow.
  • D. Jackie Morrow
    Jackie Morrow is an actor known for appearing in the Hardy family film "Out West with the Hardys."
  • E. Tara Morrow
    Tara Morrow is an individual notable enough to be recognized as a bearer of the Morrow surname, though specific widely known public details about her are not clearly established.
  • 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: Jo Morrow
Triple: [13 Ghosts, mainCastMember, Jo Morrow]
Generated description
Jo Morrow is an American actress best known for her film and television roles in the late 1950s and early 1960s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jo Morrow
Target entity description: Jo Morrow is an American actress best known for her film and television roles in the late 1950s and early 1960s.
  • A. Jan Morrow
    Jan Morrow is the witty, independent interior decorator played by Doris Day in the classic 1959 romantic comedy film "Pillow Talk."
  • B. Amanda Morrow
    Amanda Morrow is known as the former spouse of American politician and former Florida governor Charlie Crist.
  • C. Brice Morrow
    Brice Morrow is a person notable enough to be recognized as a bearer of the surname Morrow.
  • D. Jackie Morrow
    Jackie Morrow is an actor known for appearing in the Hardy family film "Out West with the Hardys."
  • E. Tara Morrow
    Tara Morrow is an individual notable enough to be recognized as a bearer of the Morrow surname, though specific widely known public details about her are not clearly established.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb35ff7848190a8a717773d8654b9 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d4079048190976eb198f8ef62f0 completed April 5, 2026, 7:20 a.m.
NEDg Description generation batch_69d20e9f480c819086b0165aa77ddb06 completed April 5, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69d20fa9cab88190bbddcf18b49f8172 completed April 5, 2026, 7:30 a.m.
Created at: March 30, 2026, 8:34 p.m.