Triple
T20619937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mummy (2017 film) |
E506671
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Nick Morton |
—
|
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: Nick Morton | Statement: [The Mummy (2017 film), character, Nick Morton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Morton Context triple: [The Mummy (2017 film), character, Nick Morton]
-
A.
Nick Morton
chosen
Nick Morton is the adventurous U.S. Army sergeant and treasure hunter who becomes entangled with an ancient evil in the 2017 film "The Mummy."
-
B.
Rob Morton
Rob Morton is a pseudonym used by American screenwriter Nancy Dowd, known for works such as the film "Slap Shot."
-
C.
Shawn Roberts
Shawn Roberts is a Canadian actor best known for his role as Albert Wesker in the Resident Evil film series.
-
D.
Roy Watts
Roy Watts is an editor known for his work on the British television drama series "Kes."
-
E.
Daryl Sattler
Daryl Sattler is an American professional soccer goalkeeper best known for his standout performances in the North American Soccer League, particularly with the San Antonio Scorpions.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe0e22c81909f6efe21518e33f0 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:41 a.m.