Triple
T20619939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mummy (2017 film) |
E506671
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Jenny Halsey |
—
|
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: Jenny Halsey | Statement: [The Mummy (2017 film), character, Jenny Halsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenny Halsey Context triple: [The Mummy (2017 film), character, Jenny Halsey]
-
A.
Jenny Halsey
chosen
Jenny Halsey is a fictional archaeologist and adventurer who serves as the female lead in the 2017 film "The Mummy."
-
B.
Jenny Healey
Jenny Healey is a person notable enough to be recognized as a significant bearer of the surname Healey.
-
C.
Jenny Hager
Jenny Hager is the manipulative and ambitious femme fatale protagonist of the 1946 film noir drama "The Strange Woman."
-
D.
Jenny Preston
Jenny Preston is a fictional character from the American television sitcom "The New Dick Van Dyke Show."
-
E.
Jenny Hill
Jenny Hill is a character in the fantasy drama film "Big Fish," appearing as one of the many figures woven into Edward Bloom’s larger-than-life storytelling.
- 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.