Triple
T4832429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyra Labs |
E107974
|
entity |
| Predicate | hasFounder |
P104
|
FINISHED |
| Object | Meg Hourihan |
E473172
|
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: Meg Hourihan | Statement: [Pyra Labs, hasFounder, Meg Hourihan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meg Hourihan Context triple: [Pyra Labs, hasFounder, Meg Hourihan]
-
A.
Meg Hourihan
chosen
Meg Hourihan is an American software developer and entrepreneur best known as the co-founder of Pyra Labs, the company that created the pioneering blogging platform Blogger.
-
B.
Siobhán McKenna
Siobhán McKenna was an acclaimed Irish stage and film actress renowned for her powerful performances in both classical and contemporary roles.
-
C.
Maureen Monaghan
Maureen Monaghan is the mother of English actor Dominic Monaghan, known for his roles in "The Lord of the Rings" film trilogy and the television series "Lost."
-
D.
Ginger Meehan
Ginger Meehan was the wife of renowned American lyricist and songwriter Johnny Mercer.
-
E.
Bridget Moynahan
Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc924e08190b03a7541c629aff9 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67d1d3508190a63a1daccce57da7 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:24 p.m.