Triple
T21633960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Four Feathers (1939 film) |
E533905
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | John Laurie |
—
|
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: John Laurie | Statement: [The Four Feathers (1939 film), starring, John Laurie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Laurie Context triple: [The Four Feathers (1939 film), starring, John Laurie]
-
A.
John Laurie
chosen
John Laurie was a Scottish actor best known for his roles in classic British films and for playing Private Frazer in the television series "Dad's Army."
-
B.
Frank Shepard
Frank Shepard was an American legal publisher and innovator best known for developing the Shepard's Citations system used to track the subsequent history and treatment of legal cases.
-
C.
Kurt Farquhar
Kurt Farquhar is an American television and film composer known for scoring numerous popular series, particularly in comedy and drama.
-
D.
Alan Garen
Alan Garen was an American molecular biologist and geneticist known for his pioneering work on the genetic code and protein synthesis.
-
E.
Albert Hadley
Albert Hadley was a prominent American interior designer renowned for his influential partnership with Sister Parish and his refined, modern classic style.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52192e388190a3f316e33f452561 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.