Triple

T9323166
Position Surface form Disambiguated ID Type / Status
Subject Eric W. Kaler E224319 entity
Predicate familyName P18 FINISHED
Object Kaler
Kaler is a surname most notably associated with Eric W. Kaler, an American chemical engineer and university administrator.
E791712 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: Kaler | Statement: [Eric W. Kaler, familyName, Kaler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaler
Context triple: [Eric W. Kaler, familyName, Kaler]
  • A. Aldaris
    Aldaris is a prominent Protoss Judicator and staunch traditionalist from the StarCraft series, known for his rigid adherence to Protoss law and eventual opposition to Zeratul and Tassadar.
  • B. Kayl
    Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
  • C. Kassis
    Kassis is a family name of likely Levantine, particularly Palestinian or broader Arab, origin.
  • D. Kyela
    Kyela is a town and district in southern Tanzania known for its fertile land, rice production, and location near the northern shores of Lake Nyasa.
  • E. Kalamian
    Kalamian is the Glottolog-recognized name for a group of closely related Austronesian languages spoken in the Calamian Islands of the Philippines.
  • 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: Kaler
Triple: [Eric W. Kaler, familyName, Kaler]
Generated description
Kaler is a surname most notably associated with Eric W. Kaler, an American chemical engineer and university administrator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaler
Target entity description: Kaler is a surname most notably associated with Eric W. Kaler, an American chemical engineer and university administrator.
  • A. Aldaris
    Aldaris is a prominent Protoss Judicator and staunch traditionalist from the StarCraft series, known for his rigid adherence to Protoss law and eventual opposition to Zeratul and Tassadar.
  • B. Kayl
    Kayl is a commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s steel-producing region.
  • C. Kassis
    Kassis is a family name of likely Levantine, particularly Palestinian or broader Arab, origin.
  • D. Kyela
    Kyela is a town and district in southern Tanzania known for its fertile land, rice production, and location near the northern shores of Lake Nyasa.
  • E. Kalamian
    Kalamian is the Glottolog-recognized name for a group of closely related Austronesian languages spoken in the Calamian Islands of the Philippines.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd36f466b08190884abdc56501a0d8 completed April 1, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7d70b1c8190a254f58efc370624 completed April 4, 2026, 8:12 a.m.
NEDg Description generation batch_69d0cbb518708190a896b0bf1fb7c9c7 completed April 4, 2026, 8:28 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc49215c8190894fe206d0230134 completed April 4, 2026, 8:31 a.m.
Created at: March 30, 2026, 7:38 p.m.