Triple

T9282761
Position Surface form Disambiguated ID Type / Status
Subject Emmavail Luce E223108 entity
Predicate givenName P17 FINISHED
Object Emmavail
Emmavail is a person whose given name is Emmavail, known in full as Emmavail Luce.
E789533 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: Emmavail | Statement: [Emmavail Luce, givenName, Emmavail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emmavail
Context triple: [Emmavail Luce, givenName, Emmavail]
  • A. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • B. Emm
    Emm is the surname associated with Richard Dawson, indicating his family name or ancestral lineage.
  • C. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • D. Ellmau
    Ellmau is a popular Austrian alpine village and ski resort known for its scenic setting in the Kitzbühel Alps and extensive winter sports and hiking opportunities.
  • E. Emmetten
    Emmetten is a Swiss mountain village and municipality known for its scenic location above Lake Lucerne in the canton of Nidwalden.
  • 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: Emmavail
Triple: [Emmavail Luce, givenName, Emmavail]
Generated description
Emmavail is a person whose given name is Emmavail, known in full as Emmavail Luce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emmavail
Target entity description: Emmavail is a person whose given name is Emmavail, known in full as Emmavail Luce.
  • A. Emme
    Emme is a river in Switzerland that flows through the canton of Bern and is a tributary of the Aare.
  • B. Emm
    Emm is the surname associated with Richard Dawson, indicating his family name or ancestral lineage.
  • C. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • D. Ellmau
    Ellmau is a popular Austrian alpine village and ski resort known for its scenic setting in the Kitzbühel Alps and extensive winter sports and hiking opportunities.
  • E. Emmetten
    Emmetten is a Swiss mountain village and municipality known for its scenic location above Lake Lucerne in the canton of Nidwalden.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd081d60a88190b49b040d0e7415bf completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b2134d408190b21c7dc642549fe4 completed April 4, 2026, 6:39 a.m.
NEDg Description generation batch_69d0b301659481909c1865884421fcde completed April 4, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_69d0b38ae1ec8190b36019d3a642290d completed April 4, 2026, 6:45 a.m.
Created at: March 30, 2026, 7:34 p.m.