Triple

T5071325
Position Surface form Disambiguated ID Type / Status
Subject Laurie E114285 entity
Predicate nickname P55 FINISHED
Object Teddy
Teddy is the affectionate nickname of Laurie, a central character in Louisa May Alcott’s classic novel "Little Women."
 E409217 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: Teddy | Statement: [Laurie, nickname, Teddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Teddy
Context triple: [Laurie, nickname, Teddy]
  • A. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • B. Teddy
    Teddy is a character in Louisa May Alcott’s novel "Jo’s Boys," part of the continuation of the March family saga begun in "Little Women."
  • C. Teddy Bears
    Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
  • D. Ben the bear
    Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
  • E. Bobo
    Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
  • 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: Teddy
Triple: [Laurie, nickname, Teddy]
Generated description
Teddy is the affectionate nickname of Laurie, a central character in Louisa May Alcott’s classic novel "Little Women."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Teddy
Target entity description: Teddy is the affectionate nickname of Laurie, a central character in Louisa May Alcott’s classic novel "Little Women."
  • A. Teddy
    Teddy is Mr. Bean’s beloved brown teddy bear, a silent yet expressive companion that often serves as his confidant and playmate in the comedy series.
  • B. Teddy chosen
    Teddy is a character in Louisa May Alcott’s novel "Jo’s Boys," part of the continuation of the March family saga begun in "Little Women."
  • C. Teddy Bears
    Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
  • D. Ben the bear
    Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
  • E. Bobo
    Bobo is a major Mande language spoken primarily in parts of West Africa, notably in Burkina Faso and Mali.
  • F. None of above.

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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74a0aa048190ba01281f1b160609 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10bb740819099797240c9f35eb9 completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb376b1d08190adabbf2e9e917bec completed March 21, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69beb4843b588190947b3c2ae7709e67 completed March 21, 2026, 3:08 p.m.
Created at: March 20, 2026, 1:39 p.m.