Triple
T19704342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meg Hourihan |
E473172
|
entity |
| Predicate | coFounded |
P104
|
FINISHED |
| Object | Pyra Labs |
—
|
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: Pyra Labs | Statement: [Meg Hourihan, coFounded, Pyra Labs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pyra Labs Context triple: [Meg Hourihan, coFounded, Pyra Labs]
-
A.
Pyra Labs
chosen
Pyra Labs is the software company best known for creating Blogger, one of the earliest and most influential web-based blogging platforms.
-
B.
Sunlight Labs
Sunlight Labs was a technology and open-data initiative that developed tools and platforms to promote government transparency and civic engagement.
-
C.
Linear Labs
Linear Labs is an independent record label known for releasing innovative hip-hop and soul projects, particularly those produced by Adrian Younge.
-
D.
Boom Labs
Boom Labs is a secretive, high-tech goblin research and development facility featured in Hearthstone’s The Boomsday Project expansion.
-
E.
Founders Lab
Founders Lab is an innovation and entrepreneurship space at Elmhurst University that supports student startups and experiential learning in business and technology.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b998608190a82f23bbf77f7bd2 |
completed | April 20, 2026, 3:14 p.m. |
Created at: April 10, 2026, 1:46 p.m.