Triple
T1008875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Wozniak |
E21775
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Woz |
E21775
|
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: Woz | Statement: [Steve Wozniak, nickname, Woz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woz Context triple: [Steve Wozniak, nickname, Woz]
-
A.
Steve Wozniak
chosen
Steve Wozniak is an American electronics engineer and programmer best known as the co-founder and technical mastermind behind the early Apple computers that helped launch the personal computing revolution.
-
B.
Reed Jobs
Reed Jobs is an American investor and philanthropist, known as the son of Apple co-founder Steve Jobs and for leading health-focused venture initiatives.
-
C.
Alan
Alan is a masculine given name of Celtic origin that has been widely used in English-speaking countries.
-
D.
Tony
The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
-
E.
Tony
Tony is one of the central protagonists in Margaret Atwood’s novel "The Robber Bride," known for her intellectual, introspective nature and complex relationships with the other main characters.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a2186c819081a495bc15f8c7fd |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba9406c81909a13375fea05ee99 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.