Triple
T9754628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elissa Knight |
E236522
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | voicing EVE in WALL-E |
E236518
|
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: voicing EVE in WALL-E | Statement: [Elissa Knight, knownFor, voicing EVE in WALL-E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: voicing EVE in WALL-E Context triple: [Elissa Knight, knownFor, voicing EVE in WALL-E]
-
A.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
B.
EVE (character)
chosen
EVE is a sleek, advanced probe robot from the animated film "WALL-E," sent to Earth to search for signs of sustainable life and who becomes WALL-E's companion and love interest.
-
C.
Vocia
Vocia is Biamp Systems’ networked paging and voice evacuation platform designed for scalable, distributed audio communication in commercial and public facilities.
-
D.
VOZ
VOZ is the ICAO airline designator used to identify Virgin Australia in international aviation operations.
-
E.
VOZ
VOZ is the IATA airport code for Voronezh Peter the Great Airport in Voronezh, Russia.
- 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b02ff0f4819080410d4e7e809a24 |
completed | April 5, 2026, 12:43 a.m. |
Created at: March 30, 2026, 8:24 p.m.