Triple
T15333872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yahoo |
E366609
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Jerry Yang |
E1152275
|
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: Jerry Yang | Statement: [Yahoo, coFounder, Jerry Yang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerry Yang Context triple: [Yahoo, coFounder, Jerry Yang]
-
A.
Jerry Yang
chosen
Jerry Yang is a Taiwanese-American entrepreneur and computer scientist best known as the co-founder and early leader of the internet company Yahoo.
-
B.
Steve Case
Steve Case is an American entrepreneur and investor best known as the co-founder and former CEO of AOL, a pioneering internet services company.
-
C.
Mitchell Kapor
Mitchell Kapor is an American entrepreneur and software pioneer best known for founding Lotus Development Corporation and co-creating the Lotus 1-2-3 spreadsheet, as well as for his philanthropy and advocacy in technology and civil liberties.
-
D.
Steve Chen
Steve Chen is a Taiwanese-American internet entrepreneur best known as one of the co-founders of the video-sharing platform YouTube.
-
E.
Larry Gates
Larry Gates was an American character actor known for his work in film, television, and theater, often portraying authoritative or paternal figures.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b3f8eac81908489baeb4cb6bb53 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:17 a.m.