Triple
T9237731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liz Goldwyn |
E221978
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Goldwyn |
E58834
|
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: Goldwyn | Statement: [Liz Goldwyn, familyName, Goldwyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goldwyn Context triple: [Liz Goldwyn, familyName, Goldwyn]
-
A.
Melvyn
Melvyn is the surname of Sybylla Melvyn, the spirited young protagonist of Miles Franklin’s classic Australian novel "My Brilliant Career."
-
B.
Lasky
Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
-
C.
Orson
Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
-
D.
Guillermin
Guillermin is a French-origin surname most notably associated with British film director John Guillermin, known for works such as "The Towering Inferno" and the 1976 remake of "King Kong."
-
E.
Goldwyn Pictures
chosen
Goldwyn Pictures was an early 20th-century American film production company that became one of the key predecessors to Metro-Goldwyn-Mayer (MGM).
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf09f9e908190801fe114c5e63984 |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077d4c4a881909c80176ddf5101a4 |
completed | April 4, 2026, 2:30 a.m. |
Created at: March 30, 2026, 7:30 p.m.