Triple

T18109054
Position Surface form Disambiguated ID Type / Status
Subject Imogen Heap E433424 entity
Predicate familyName P18 FINISHED
Object Heap NE NERFINISHED

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: Heap | Statement: [Imogen Heap, familyName, Heap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heap
Context triple: [Imogen Heap, familyName, Heap]
  • A. Heap chosen
    Heap is the surname of Imogen Heap, an English singer-songwriter, producer, and audio engineer known for her innovative electronic music and vocal processing.
  • B. heapq
    heapq is a Python standard library module that provides an implementation of the heap queue algorithm, offering efficient priority queue and heap-based operations on lists.
  • C. Fibonacci heap
    A Fibonacci heap is an advanced data structure for implementing priority queues that supports very fast amortized running times for operations like insert and decrease-key, making it useful in algorithms such as Dijkstra’s shortest path.
  • D. Heapsort
    Heapsort is a comparison-based sorting algorithm that uses a binary heap data structure to sort elements in-place with O(n log n) time complexity and O(1) auxiliary space.
  • E. Stack
    Stack is a surname most notably associated with American actor and television host Robert Stack.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddbbfae88190aa77f498dbb9edcb completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:28 a.m.