Triple
T10526225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorelei Ambrosia |
E248311
|
entity |
| Predicate | worksFor |
P5820
|
FINISHED |
| Object | Ross Webster |
E248310
|
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: Ross Webster | Statement: [Lorelei Ambrosia, worksFor, Ross Webster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Webster Context triple: [Lorelei Ambrosia, worksFor, Ross Webster]
-
A.
Ross Webster
chosen
Ross Webster is the wealthy and power-hungry industrialist villain who schemes against Superman in the film "Superman III."
-
B.
Alex Webster
Alex Webster was an American football running back best known for his successful career with the New York Giants in the 1950s and 1960s, later becoming the team's head coach.
-
C.
Ferris Webster
Ferris Webster was an American film editor known for his work on major Hollywood productions, including the Clint Eastwood prison drama "Escape from Alcatraz."
-
D.
Calvin Wheeler
Calvin Wheeler is a fictional character portrayed by actor Lee Thompson Young, best known from his work in film and television.
-
E.
Paul Webster
Paul Webster is a British film producer known for his work on acclaimed films such as "Salmon Fishing in the Yemen" and other major international productions.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f4bbe88190bce7789a56c85671 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933fffc4c81908798094f72a06d18 |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:29 p.m.