Triple

T5029815
Position Surface form Disambiguated ID Type / Status
Subject Lambda Literary Award E113267 entity
Predicate alsoKnownAs P39 FINISHED
Object Lammys
The Lammys are prestigious literary awards presented annually by Lambda Literary to honor excellence in LGBTQ+ literature across multiple genres.
 E488016 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: Lammys | Statement: [Lambda Literary Award, alsoKnownAs, Lammys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lammys
Context triple: [Lambda Literary Award, alsoKnownAs, Lammys]
  • A. Emmy
    Emmy is the affectionate nickname of Emmy Noether, the pioneering German mathematician renowned for her groundbreaking contributions to abstract algebra and theoretical physics.
  • B. Emmy
    Emmy is the iconic winged woman holding an atom statuette that serves as the symbol and trophy for the Primetime Emmy Awards.
  • C. Laudot
    Laudot is a small river in southern France that serves as the main feeder stream for the Lac de Saint-Ferréol reservoir, historically linked to the Canal du Midi water system.
  • D. Starlette
    Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
  • E. Gala
    Gala was the Russian-born muse, model, and wife of surrealist painter Salvador Dalí, renowned for her profound influence on his life and work.
  • 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: Lammys
Triple: [Lambda Literary Award, alsoKnownAs, Lammys]
Generated description
The Lammys are prestigious literary awards presented annually by Lambda Literary to honor excellence in LGBTQ+ literature across multiple genres.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lammys
Target entity description: The Lammys are prestigious literary awards presented annually by Lambda Literary to honor excellence in LGBTQ+ literature across multiple genres.
  • A. Emmy
    Emmy is the affectionate nickname of Emmy Noether, the pioneering German mathematician renowned for her groundbreaking contributions to abstract algebra and theoretical physics.
  • B. Emmy
    Emmy is the iconic winged woman holding an atom statuette that serves as the symbol and trophy for the Primetime Emmy Awards.
  • C. Laudot
    Laudot is a small river in southern France that serves as the main feeder stream for the Lac de Saint-Ferréol reservoir, historically linked to the Canal du Midi water system.
  • D. Starlette
    Starlette is a lightweight, high-performance ASGI framework for building asynchronous web applications and services in Python.
  • E. Gala
    Gala was the Russian-born muse, model, and wife of surrealist painter Salvador Dalí, renowned for her profound influence on his life and work.
  • 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_69bd443775e48190a646ffbfc4334723 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd739099a0819099c6201d4e1c5ee2 completed March 20, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c6859a88190bbf5688812f2eb91 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9e13855081908c3adc9c5c9f3b2d completed March 21, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69be9e83b6e48190b56eb02fce41bbf0 completed March 21, 2026, 1:34 p.m.
Created at: March 20, 2026, 1:36 p.m.