Triple
T7388291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graphcore |
E170436
|
entity |
| Predicate | notableInvestor |
P27018
|
FINISHED |
| Object | Atomico |
E277032
|
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: Atomico | Statement: [Graphcore, notableInvestor, Atomico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atomico Context triple: [Graphcore, notableInvestor, Atomico]
-
A.
Atomico
chosen
Atomico is a London-based venture capital firm known for investing in innovative technology startups, founded by Skype co-creator Niklas Zennström.
-
B.
Les Atomes
Les Atomes is a seminal scientific work by Jean Perrin that helped establish the reality of atoms through experimental evidence and clear popular exposition of atomic theory.
-
C.
Tafi Atome
Tafi Atome is a village in Ghana known as a primary community of Tafi language speakers.
-
D.
The Atomic Kid
The Atomic Kid is a 1954 American comedy film starring Mickey Rooney as a man who survives a nuclear blast and gains bizarre powers, blending Cold War-era atomic anxieties with slapstick humor.
-
E.
Sankei Atoms
Sankei Atoms was a former name of the Japanese professional baseball team now known as the Tokyo Yakult Swallows.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f3f5f48190aabe69ba79cbcb93 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e56fb48190976612d2a94d6ee5 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.