Triple
T5696876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse L. Lasky Jr. |
E125561
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lasky |
E446377
|
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: Lasky | Statement: [Jesse L. Lasky Jr., familyName, Lasky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lasky Context triple: [Jesse L. Lasky Jr., familyName, Lasky]
-
A.
Lasky
chosen
Lasky is a surname most notably associated with Jesse L. Lasky, a pioneering American film producer and co-founder of Paramount Pictures.
-
B.
Orson
Orson is a masculine given name most famously associated with the American filmmaker and actor Orson Welles.
-
C.
Roscoe
"Roscoe" is an essay by Washington Irving, included in his collection *The Sketch Book of Geoffrey Crayon, Gent.*, that reflects on the life and character of English historian and writer William Roscoe.
-
D.
Roscoe
Roscoe is a rural unincorporated community located in Coweta County, Georgia, known for its quiet residential character and countryside setting.
-
E.
Hedison
Hedison is a surname most notably associated with American photographer and director Alexandra Hedison and her family.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0240d6c0c8190bf970c7652fd9573 |
completed | March 22, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5635448190ada625283405752f |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:45 p.m.