Triple
T6047101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affirm |
E134694
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Nathan Gettings |
E437200
|
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: Nathan Gettings | Statement: [Affirm, foundedBy, Nathan Gettings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Gettings Context triple: [Affirm, 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 Means
Nathan Means is an American musician best known as the bassist and vocalist for the experimental rock band Trans Am.
-
D.
Nathan Bowles
Nathan Bowles is an American multi-instrumentalist and composer best known for his innovative clawhammer banjo work in experimental folk and avant-garde music.
-
E.
Nathan Johnson
Nathan Johnson is an American film composer and musician best known for his innovative, experimental scores for director Rian Johnson’s movies, including "Brick," "Looper," and "Knives Out."
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e70fd48190b4554e9a516a1c88 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c113a2b65c8190a1891e790cb9a5de |
completed | March 23, 2026, 10:19 a.m. |
Created at: March 22, 2026, 4:09 p.m.