Triple

T10720449
Position Surface form Disambiguated ID Type / Status
Subject Hanoch E252804 entity
Predicate nameVariant P744 FINISHED
Object Henoch
Henoch is a variant form of the biblical Hebrew name Hanoch, traditionally associated with early genealogies in the Book of Genesis.
E882103 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: Henoch | Statement: [Hanoch, nameVariant, Henoch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henoch
Context triple: [Hanoch, nameVariant, Henoch]
  • A. Henoch Raberaba
    Henoch Raberaba was an Indigenous Australian artist recognized for his contributions to the Hermannsburg watercolour painting tradition.
  • B. Eliassen
    Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
  • C. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • D. Neebe
    Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
  • E. Gotaas-Larsen
    Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
  • 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: Henoch
Triple: [Hanoch, nameVariant, Henoch]
Generated description
Henoch is a variant form of the biblical Hebrew name Hanoch, traditionally associated with early genealogies in the Book of Genesis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Henoch
Target entity description: Henoch is a variant form of the biblical Hebrew name Hanoch, traditionally associated with early genealogies in the Book of Genesis.
  • A. Henoch Raberaba
    Henoch Raberaba was an Indigenous Australian artist recognized for his contributions to the Hermannsburg watercolour painting tradition.
  • B. Eliassen
    Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
  • C. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • D. Neebe
    Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
  • E. Gotaas-Larsen
    Gotaas-Larsen was a Norwegian shipping company and maritime enterprise that played a key role in the early development of modern cruise operations.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d42033c81908cafe500213a9da1 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb72b9ce08190a9134f3365d3f8cb completed April 12, 2026, 3:15 p.m.
NEDg Description generation batch_69dbbbe3d9dc819088f85d41ef66ab29 completed April 12, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69dbc58a5ef481908e67fff6686fb506 completed April 12, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:13 p.m.