Triple

T23127099
Position Surface form Disambiguated ID Type / Status
Subject work of William Wordsworth E577060 entity
Predicate includesWork P2011 FINISHED
Object Michael
"Michael" is a narrative pastoral poem by William Wordsworth that tells the tragic story of an aging shepherd, his family, and the loss of their rural way of life.
E1571083 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: Michael | Statement: [work of William Wordsworth, includesWork, Michael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael
Context triple: [work of William Wordsworth, includesWork, Michael]
  • A. John
    John is the given name of John Clive Ward, a notable British-Australian theoretical physicist known for his contributions to quantum electrodynamics and the Ward–Takahashi identity.
  • B. John
    John is the given name of John Houseman, the Romanian-born British-American actor and producer known for his work in film, theater, and radio.
  • C. John
    John is the given first name of Jack-Jack Parr, the infant superhero character from Pixar's "The Incredibles" franchise.
  • D. John
    John is the given name of American screenwriter John Michael Hayes, known for his work on several Alfred Hitchcock films.
  • E. John
    John is the given name of John Adams, the second president of the United States and a prominent Founding Father.
  • 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: Michael
Triple: [work of William Wordsworth, includesWork, Michael]
Generated description
"Michael" is a narrative pastoral poem by William Wordsworth that tells the tragic story of an aging shepherd, his family, and the loss of their rural way of life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michael
Target entity description: "Michael" is a narrative pastoral poem by William Wordsworth that tells the tragic story of an aging shepherd, his family, and the loss of their rural way of life.
  • A. Michael
    Michael is a parish on the Isle of Man, known for its rural landscapes and coastal scenery.
  • B. Michael
    Michael is the central protagonist of the card game Dominion’s narrative setting, around whom the game’s implied story of kingdom-building and power struggles revolves.
  • C. Michael
    Michael is a historical warship, likely a naval vessel named after the given male name Michael.
  • D. Michael
    Michael is a central figure in the crime drama "Sleepers," whose traumatic experiences and quest for justice drive much of the film’s emotional and moral conflict.
  • E. Michael
    Michael is a 1924 silent drama film by Danish director Carl Theodor Dreyer, noted for its early and nuanced depiction of a same-sex relationship in European cinema.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e55aa38819092816ffc52e20dbe completed April 29, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c23e0abac81909b370897aadcd586 completed May 19, 2026, 8:48 a.m.
NEDg Description generation batch_6a0c271f3c24819093f04fc69ae90160 completed May 19, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0c27e86440819089fae3350b29d722 completed May 19, 2026, 9:05 a.m.
Created at: April 17, 2026, 3:59 p.m.