Triple
T5992784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Heap |
E133391
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Heap |
E433424
|
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: Heap | Statement: [Todd Heap, familyName, Heap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heap Context triple: [Todd 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 cross-platform build tool and package manager for Haskell that simplifies project setup, dependency management, and reproducible builds.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e9189908190abc9c742b38dfabc |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108685f788190aa3f84e56837b195 |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.