Triple
T9705468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marco Arment |
E234886
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Overcast |
E815194
|
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: Overcast | Statement: [Marco Arment, notableWork, Overcast]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overcast Context triple: [Marco Arment, notableWork, Overcast]
-
A.
Overcast
chosen
Overcast is a popular iOS podcast player app known for its smart features, clean design, and development by Marco Arment.
-
B.
Stormy
"Stormy" is a popular 1968 soft rock ballad, best known as a hit single by the Atlanta Rhythm Section co-written and produced by Buddy Buie.
-
C.
Foggy
Foggy is the nickname of Foggy Dewhurst, a comically pompous and ex-military character from the long-running British sitcom "Last of the Summer Wine."
-
D.
Partly Cloudy
Partly Cloudy is a Pixar animated short film that humorously and tenderly explores the relationship between a cloud that creates unusual baby animals and the stork who delivers them.
-
E.
Barish
Barish is the surname of Barry Barish, the Nobel Prize–winning American experimental physicist known for his leadership in the LIGO gravitational-wave project.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da369b4819081f6ce01289ed725 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcc0117c8190bc82a985ce59623d |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:19 p.m.