Triple

T14810154
Position Surface form Disambiguated ID Type / Status
Subject Molly Ockett E348156 entity
Predicate alsoKnownAs P39 FINISHED
Object Mollyockett
Mollyockett was a well-known Abenaki healer and folk figure from the 18th–19th century New England region, especially associated with western Maine.
 E1119981 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: Mollyockett | Statement: [Molly Ockett, alsoKnownAs, Mollyockett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mollyockett
Context triple: [Molly Ockett, alsoKnownAs, Mollyockett]
  • A. Molly
    Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
  • B. Molly
    Molly is the central female character in James Joyce’s novel "Ulysses," renowned for her candid, stream-of-consciousness monologue that concludes the book.
  • C. Molly
    Molly is a fictional character played by Irish actress Dominique McElligott, known from her work in film and television.
  • D. Molly
    Molly is the adventurous young chicken protagonist of the animated film "Chicken Run: Dawn of the Nugget," who drives the story’s escape mission.
  • E. Molly
    Molly is a character from the 1973 crime film "Charley Varrick," which follows a small-time crook entangled with the mob after a bank heist.
  • 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: Mollyockett
Triple: [Molly Ockett, alsoKnownAs, Mollyockett]
Generated description
Mollyockett was a well-known Abenaki healer and folk figure from the 18th–19th century New England region, especially associated with western Maine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mollyockett
Target entity description: Mollyockett was a well-known Abenaki healer and folk figure from the 18th–19th century New England region, especially associated with western Maine.
  • A. Molly
    Molly is the adventurous young chicken protagonist of the animated film "Chicken Run: Dawn of the Nugget," who drives the story’s escape mission.
  • B. Molly
    Molly is the central female character in James Joyce’s novel "Ulysses," renowned for her candid, stream-of-consciousness monologue that concludes the book.
  • C. Molly
    Molly is a fictional character played by Irish actress Dominique McElligott, known from her work in film and television.
  • D. Molly
    Molly is a lesser-known sibling of Snoopy in the Peanuts comic universe created by Charles M. Schulz.
  • E. Molly
    Molly is a feminine given name commonly used in English-speaking countries, often as a diminutive of Mary.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ca88748190ae9e66bac5324e25 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe26d7be04819090860d5180c72329 completed May 8, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe277c73c481908ca3bdb1c2113598 completed May 8, 2026, 6:12 p.m.
Created at: April 10, 2026, 1:46 a.m.