Triple

T16549500
Position Surface form Disambiguated ID Type / Status
Subject Gabriella Sarmiento Wilson E402031 entity
Predicate alsoKnownAs P39 FINISHED
Object HER
H.E.R. is an American singer-songwriter and multi-instrumentalist known for her soulful R&B music, emotive vocals, and Grammy-winning work.
 E1219401 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: HER | Statement: [Gabriella Sarmiento Wilson, alsoKnownAs, HER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HER
Context triple: [Gabriella Sarmiento Wilson, alsoKnownAs, HER]
  • A. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • B. HER
    HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
  • C. HER
    HER is a reinforcement learning technique that improves learning from sparse rewards by reinterpreting failed experiences as successful ones for alternative goals.
  • D. HER
    HER is the vehicle registration code assigned to the town of Herne in the German state of North Rhine-Westphalia.
  • E. HER
    HER is the IATA airport code for Heraklion International Airport, the main air gateway to the Greek island of Crete.
  • 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: HER
Triple: [Gabriella Sarmiento Wilson, alsoKnownAs, HER]
Generated description
H.E.R. is an American singer-songwriter and multi-instrumentalist known for her soulful R&B music, emotive vocals, and Grammy-winning work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HER
Target entity description: H.E.R. is an American singer-songwriter and multi-instrumentalist known for her soulful R&B music, emotive vocals, and Grammy-winning work.
  • A. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • B. HER
    HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
  • C. HER
    HER is a reinforcement learning technique that improves learning from sparse rewards by reinterpreting failed experiences as successful ones for alternative goals.
  • D. HER
    HER is the vehicle registration code assigned to the town of Herne in the German state of North Rhine-Westphalia.
  • E. HER
    HER is the IATA airport code for Heraklion International Airport, the main air gateway to the Greek island of Crete.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc323a88190b5c2a34de0a3c7f0 completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b6ca44819085145eb48356e7b4 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00687d228081909d0a39f2c23d4e4d completed May 10, 2026, 11:14 a.m.
NED2 Entity disambiguation (via description) batch_6a006907419881909e8f71714bbe054a completed May 10, 2026, 11:16 a.m.
Created at: April 10, 2026, 5:15 a.m.