Triple
T412229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snap Inc. |
E9513
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Evan Spiegel |
E52235
|
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: Evan Spiegel | Statement: [Snap Inc., hasKeyPerson, Evan Spiegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Spiegel Context triple: [Snap Inc., hasKeyPerson, Evan Spiegel]
-
A.
Evan Spiegel
chosen
Evan Spiegel is an American entrepreneur best known as the co-founder and CEO of Snap Inc., the company behind Snapchat.
-
B.
Kevin Systrom
Kevin Systrom is an American entrepreneur and programmer best known as the co-founder and former CEO of the photo-sharing social media platform Instagram.
-
C.
Biz Stone
Biz Stone is an American entrepreneur and software developer best known as one of the co-founders of Twitter and a prominent figure in the social media industry.
-
D.
Mark Zuckerberg
Mark Zuckerberg is an American technology entrepreneur and philanthropist best known as the co-founder and CEO of Facebook (now Meta Platforms).
-
E.
Nathan Blecharczyk
Nathan Blecharczyk is an American billionaire entrepreneur and software engineer best known as a co-founder and longtime technology leader of the home-sharing company Airbnb.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecdafa2481908111accc918ff2e8 |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a423a152b0819099cfb9dd799ce755 |
completed | March 1, 2026, 11:31 a.m. |
Created at: Feb. 28, 2026, 1:09 p.m.