Triple

T4233002
Position Surface form Disambiguated ID Type / Status
Subject Heinsius E94624 entity
Predicate derivedFromGivenName P17 FINISHED
Object Hein E101557 NE FINISHED

How this triple was built (2 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: Hein | Statement: [Heinsius, derivedFromGivenName, Hein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hein
Context triple: [Heinsius, derivedFromGivenName, Hein]
  • A. Hein chosen
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • B. Heins
    Heins is a variant form of the Dutch surname Heinsius, historically associated with notable scholars and statesmen in the Netherlands.
  • C. Heini
    Heini is a diminutive form of the German given name Heinrich, often used as an affectionate nickname.
  • D. Helleren
    Helleren is a small historic settlement in Norway known for its traditional houses built under a large rock overhang near the Jøssingfjord.
  • E. Henreid
    Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e65720c819087c4022c774ff7c3 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a85fdbe08190bcdc18a4bc456b59 completed March 14, 2026, 6:26 p.m.
Created at: March 12, 2026, 11:05 p.m.