Triple
T18296459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicholas Ridley |
E438243
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ridley |
—
|
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: Ridley | Statement: [Nicholas Ridley, familyName, Ridley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ridley Context triple: [Nicholas Ridley, familyName, Ridley]
-
A.
Ridley
Ridley is the given name of the renowned British film director and producer Ridley Scott.
-
B.
Ridley
chosen
Ridley is a recurring dragon-like space pirate commander and major antagonist in Nintendo's Metroid video game series.
-
C.
Biehn
Biehn is the surname of American actor Michael Biehn, known for his roles in science fiction and action films such as The Terminator and Aliens.
-
D.
Yon-Rogg
Yon-Rogg is a Kree military commander and mentor-turned-antagonist to Carol Danvers in the Marvel Cinematic Universe film "Captain Marvel."
-
E.
Duncan Idaho
Duncan Idaho is a skilled and charismatic swordmaster and loyal Atreides warrior in the Dune universe, renowned for his combat prowess and unwavering devotion to House Atreides.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017c0f04819095cd9d59afc37caa |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.