Triple
T5752281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Huffman |
E126880
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steve Huffman |
E126880
|
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: Steve Huffman | Statement: [Steve Huffman, name, Steve Huffman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Huffman Context triple: [Steve Huffman, name, Steve Huffman]
-
A.
Steve Huffman
chosen
Steve Huffman is an American web developer and entrepreneur best known as the co-founder and CEO of the social news and discussion platform Reddit.
-
B.
Jonathan I. Schwartz
Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
-
C.
Daniel Domscheit-Berg
Daniel Domscheit-Berg is a German technology activist and former WikiLeaks spokesperson who became known for his whistleblowing work and later critiques of the organization.
-
D.
Alexis Ohanian
Alexis Ohanian is an American internet entrepreneur and investor best known as the co-founder of the social news and discussion platform Reddit.
-
E.
Jonathan Schwartz
Jonathan Schwartz is a film producer best known for his work on acclaimed independent movies such as "Like Crazy."
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3e71988190a938a6d175023028 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.