Triple
T8103379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | film "Empire" |
E189166
|
entity |
| Predicate | hasCrewMember |
P42937
|
FINISHED |
| Object | Marie Desert |
E189166
|
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: Marie Desert | Statement: [film "Empire", hasCrewMember, Marie Desert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marie Desert Context triple: [film "Empire", hasCrewMember, Marie Desert]
-
A.
Marie Desert
chosen
Marie Desert is a film professional credited as an assistant on the movie "Empire."
-
B.
Błędów Desert
Błędów Desert is a rare inland sand desert in southern Poland, known for its extensive dunes and unique, almost desert-like landscape.
-
C.
Deserta Grande
Deserta Grande is the largest and main island of the Desertas Islands, a small uninhabited Portuguese archipelago southeast of Madeira known for its rugged terrain and protected wildlife.
-
D.
Kalimari Desert
Kalimari Desert is a Wild West–themed racetrack in the Mario Kart series, characterized by its sandy terrain and a central railroad crossing with an active train obstacle.
-
E.
Katpana Desert
Katpana Desert is a high-altitude cold desert near Skardu in Pakistan’s Gilgit-Baltistan region, known for its striking sand dunes set against snow-capped mountains.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42bf1cb0819099dda4f050f8e95e |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc642095a08190bcf90e6470e127cc |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:31 p.m.