Triple

T21001875
Position Surface form Disambiguated ID Type / Status
Subject Good as I Been to You E517310 entity
Predicate contains P35 FINISHED
Object “Little Maggie”
“Little Maggie” is a traditional American folk song, widely performed in bluegrass and old-time music, that has been covered by numerous artists over the decades.
 E1461864 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: “Little Maggie” | Statement: [Good as I Been to You, contains, “Little Maggie”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “Little Maggie”
Context triple: [Good as I Been to You, contains, “Little Maggie”]
  • A. Maggie
    Maggie is a common diminutive form of the given name Margaret, often used as a familiar or affectionate nickname.
  • B. Maggie
    Maggie is a character portrayed by Australian actress Robin McLeavy, best known from the horror film "The Loved Ones."
  • C. Maggie
    "Maggie" is a novel by American author Charles Martin, known for its emotionally driven storytelling and themes of love, loss, and redemption.
  • D. Maggie
    Maggie is a central character in the 1992 British ensemble comedy-drama film "Peter’s Friends," which follows a group of Cambridge university friends reuniting after a decade.
  • E. Maggie
    Maggie is a tough, self-sacrificing resistance fighter in the dystopian action film "Escape from New York."
  • 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: “Little Maggie”
Triple: [Good as I Been to You, contains, “Little Maggie”]
Generated description
“Little Maggie” is a traditional American folk song, widely performed in bluegrass and old-time music, that has been covered by numerous artists over the decades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “Little Maggie”
Target entity description: “Little Maggie” is a traditional American folk song, widely performed in bluegrass and old-time music, that has been covered by numerous artists over the decades.
  • A. Maggie
    Maggie is a common diminutive form of the given name Margaret, often used as a familiar or affectionate nickname.
  • B. Maggie
    Maggie is a character portrayed by Australian actress Robin McLeavy, best known from the horror film "The Loved Ones."
  • C. Maggie
    Maggie is a central character in the 1992 British ensemble comedy-drama film "Peter’s Friends," which follows a group of Cambridge university friends reuniting after a decade.
  • D. Maggie
    "Maggie" is a novel by American author Charles Martin, known for its emotionally driven storytelling and themes of love, loss, and redemption.
  • E. Maggie
    Maggie is a tough, self-sacrificing resistance fighter in the dystopian action film "Escape from New York."
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc25c1f8819086bdbfd89d390f5f completed April 21, 2026, 4:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a093b563d148190a2c06e8550fa071e completed May 17, 2026, 3:51 a.m.
NEDg Description generation batch_6a093c1b09708190afd8e748dc4b3888 completed May 17, 2026, 3:55 a.m.
NED2 Entity disambiguation (via description) batch_6a093c885164819093708d94e6fa6f95 completed May 17, 2026, 3:56 a.m.
Created at: April 16, 2026, 1:52 p.m.