Triple

T17909550
Position Surface form Disambiguated ID Type / Status
Subject Skips E447784 entity
Predicate species P87 FINISHED
Object yeti
The yeti is a legendary ape-like creature said to inhabit the snowy Himalayan mountains, often featured in folklore and cryptozoology.
 E1295246 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: yeti | Statement: [Skips, species, yeti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: yeti
Context triple: [Skips, species, yeti]
  • A. Yat
    Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
  • B. YAK
    YAK is the IATA airport code for Yakutat Airport, a public airport serving the community of Yakutat in Alaska, United States.
  • C. Yetter
    Yetter is a mathematician known for contributions to knot theory and related areas of topology, including work connected to the HOMFLY-PT polynomial.
  • D. Yelmo
    Yelmo is a prominent granite dome and popular climbing destination in the La Pedriza area of Spain’s Sierra de Guadarrama.
  • E. Yakus
    Yakus was the petitioner in the landmark U.S. Supreme Court case Yakus v. United States, which addressed the constitutionality of wartime price controls and congressional delegation of legislative power.
  • 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: yeti
Triple: [Skips, species, yeti]
Generated description
The yeti is a legendary ape-like creature said to inhabit the snowy Himalayan mountains, often featured in folklore and cryptozoology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: yeti
Target entity description: The yeti is a legendary ape-like creature said to inhabit the snowy Himalayan mountains, often featured in folklore and cryptozoology.
  • A. Yat
    Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
  • B. YAK
    YAK is the IATA airport code for Yakutat Airport, a public airport serving the community of Yakutat in Alaska, United States.
  • C. Yetter
    Yetter is a mathematician known for contributions to knot theory and related areas of topology, including work connected to the HOMFLY-PT polynomial.
  • D. Yelmo
    Yelmo is a prominent granite dome and popular climbing destination in the La Pedriza area of Spain’s Sierra de Guadarrama.
  • E. Yakus
    Yakus was the petitioner in the landmark U.S. Supreme Court case Yakus v. United States, which addressed the constitutionality of wartime price controls and congressional delegation of legislative power.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9f4f888190840c8b55672becf8 completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b2e0c5481908443e13839a0415d completed May 12, 2026, 12:21 p.m.
NEDg Description generation batch_6a031bc800d081908493949af23dd360 completed May 12, 2026, 12:23 p.m.
NED2 Entity disambiguation (via description) batch_6a031d4bf2dc8190b69eb8f8050b9955 completed May 12, 2026, 12:30 p.m.
Created at: April 10, 2026, 10:19 a.m.