Triple

T22064955
Position Surface form Disambiguated ID Type / Status
Subject The Silver Slipper E545243 entity
Predicate hasCharacter P2308 FINISHED
Object Tessie
Tessie is a fictional character appearing in the story "The Silver Slipper."
 E1516772 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: Tessie | Statement: [The Silver Slipper, hasCharacter, Tessie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tessie
Context triple: [The Silver Slipper, hasCharacter, Tessie]
  • A. Tessie
    Tessie is one of the young orphan girls in the musical "Annie," known for her anxious personality and frequent cries of "Oh my goodness, oh my goodness!"
  • B. Tessie
    Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
  • C. Tessie Hutchinson
    Tessie Hutchinson is the central character in Shirley Jackson’s short story “The Lottery,” known for becoming the scapegoated victim of the town’s brutal annual ritual.
  • D. Tess Goode
    Tess Goode is a thoughtful, idealistic young woman in Wendy Wasserstein’s play "The Sisters Rosensweig," whose political convictions and generational perspective contrast with those of her mother and aunts.
  • E. Zelma
    Zelma is a feminine given name of Hebrew origin, often considered a variant of Selma or Anselma.
  • 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: Tessie
Triple: [The Silver Slipper, hasCharacter, Tessie]
Generated description
Tessie is a fictional character appearing in the story "The Silver Slipper."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tessie
Target entity description: Tessie is a fictional character appearing in the story "The Silver Slipper."
  • A. Tessie
    Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
  • B. Tessie
    Tessie is one of the young orphan girls in the musical "Annie," known for her anxious personality and frequent cries of "Oh my goodness, oh my goodness!"
  • C. Tessie Hutchinson
    Tessie Hutchinson is the central character in Shirley Jackson’s short story “The Lottery,” known for becoming the scapegoated victim of the town’s brutal annual ritual.
  • D. Tess Goode
    Tess Goode is a thoughtful, idealistic young woman in Wendy Wasserstein’s play "The Sisters Rosensweig," whose political convictions and generational perspective contrast with those of her mother and aunts.
  • E. Zelma
    Zelma is a feminine given name of Hebrew origin, often considered a variant of Selma or Anselma.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12882ab3c819095b61e0a341edfdf completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80ada8bc81908c8588857ac2c161 completed May 18, 2026, 2:59 a.m.
NEDg Description generation batch_6a0a81f51dbc8190a49506d7536d165b completed May 18, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0a82c10ce48190806498221cb55e7b completed May 18, 2026, 3:08 a.m.
Created at: April 16, 2026, 8:27 p.m.