Triple
T18939200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Boardman |
E463333
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Chris Boardman |
—
|
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: Chris Boardman | Statement: [Chris Boardman, name, Chris Boardman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Boardman Context triple: [Chris Boardman, name, Chris Boardman]
-
A.
Chris Boardman
Chris Boardman is an American composer and orchestrator known for his work on numerous film scores and television soundtracks.
-
B.
Chris Boardman
chosen
Chris Boardman is a British former professional cyclist and Olympic gold medallist renowned for his time-trialling prowess and innovative approach to cycling technology.
-
C.
Robin Le Poidevin
Robin Le Poidevin is a British philosopher known for his work in metaphysics, philosophy of religion, and the philosophy of time.
-
D.
Scot Armstrong
Scot Armstrong is an American screenwriter and producer known for his work on hit comedy films such as "Old School," "Road Trip," and "The Hangover Part II."
-
E.
Scott Armstrong
Scott Armstrong is an American journalist and author known for his investigative reporting and coauthoring influential books on U.S. government and the Supreme Court.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ea39dc8190a2f773e09e11e6d1 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.