Triple
T22592023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affirm Holdings, Inc. |
E564973
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Nathan Gettings |
—
|
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: Nathan Gettings | Statement: [Affirm Holdings, Inc., foundedBy, Nathan Gettings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Gettings Context triple: [Affirm Holdings, Inc., foundedBy, Nathan Gettings]
-
A.
Nathan Gettings
chosen
Nathan Gettings is a technologist and entrepreneur best known as a co-founder of the data analytics company Palantir Technologies.
-
B.
Nathan Gamble
Nathan Gamble is an American actor best known for his childhood roles in films such as "Babel" and the "Dolphin Tale" series.
-
C.
Nathan Cochran
Nathan Cochran is an American musician best known as the longtime bassist for the contemporary Christian band MercyMe.
-
D.
Nathan Cunningham
Nathan Cunningham is a songwriter best known for co-writing the track "Never Really Over."
-
E.
Nathan Owens
Nathan Owens is an American actor and model best known for his television roles, including a main cast part on the drama series "Devious Maids."
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16162c2cc8190a506776ac52356d7 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:49 p.m.