Triple

T12654658
Position Surface form Disambiguated ID Type / Status
Subject Learned Hand E302253 entity
Predicate familyName P18 FINISHED
Object Hand E678599 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: Hand | Statement: [Learned Hand, familyName, Hand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hand
Context triple: [Learned Hand, familyName, Hand]
  • A. Hand chosen
    Hand is a common English surname of Anglo-Saxon origin, often derived from occupational or descriptive roots.
  • B. Arm
    Arm is a British semiconductor and software design company best known for creating the ARM architecture used in most of the world’s mobile and embedded processors.
  • C. Handen
    Handen is a suburban district in Stockholm County, Sweden, serving as a commercial and residential hub within the Haninge area.
  • D. handschar
    Handschar is the German term for a traditional Ottoman and Balkan curved sword or scimitar, historically associated with Muslim soldiers.
  • E. Manod
    Manod is a small village in Gwynedd, Wales, situated near the former slate-mining town of Blaenau Ffestiniog in the historic county of Merionethshire.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f668832c7081909eb75429efba493e completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.