Triple
T21169307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WoZ |
E521651
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | WoZ |
—
|
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: WoZ | Statement: [WoZ, shortName, WoZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WoZ Context triple: [WoZ, shortName, WoZ]
-
A.
WoZ
chosen
WoZ (Wheels of Zeus) was a technology company founded by Steve Wozniak that focused on developing wireless GPS-based tracking devices and related consumer electronics.
-
B.
Woz Way
Woz Way is a street in downtown San Jose, California, named in honor of Apple co-founder Steve Wozniak and located near the city’s technology and cultural attractions.
-
C.
WoS
WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
-
D.
Z.O.W.I.E.
Z.O.W.I.E. is a fictional secret intelligence agency from the 1967 spy parody film "In Like Flint," serving as a satirical counterpart to real-world espionage organizations.
-
E.
Woizero
Woizero is an Ethiopian honorific title historically used for noblewomen, roughly equivalent to "Lady" or "Madam."
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72711be9481909f16107b71d3500a |
completed | April 21, 2026, 7:28 a.m. |
Created at: April 16, 2026, 3 p.m.