Triple
T19268532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Zander Rice (Logan) |
E481853
|
entity |
| Predicate | firstAppearance |
P795
|
FINISHED |
| Object | Logan (2017 film) |
—
|
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: Logan (2017 film) | Statement: [Dr. Zander Rice (Logan), firstAppearance, Logan (2017 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logan (2017 film) Context triple: [Dr. Zander Rice (Logan), firstAppearance, Logan (2017 film)]
-
A.
Logan
chosen
Logan is a 2017 superhero film in the X-Men franchise that follows an aging Wolverine on a violent, character-driven road journey in a bleak near-future.
-
B.
Logan
Logan is a neighborhood in Wyoming, Ohio, that serves as the community surrounding the Wyoming train station.
-
C.
Logan
Logan is a city in northern Utah known for being home to Utah State University and for its scenic Cache Valley setting.
-
D.
Logan
Logan is a small village located within the council area of East Ayrshire in southwest Scotland.
-
E.
Logan
Logan is a Marvel Comics antihero better known as Wolverine, a mutant with retractable claws and a powerful healing factor who was subjected to the Weapon X program.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb68d0c819083ba0ce680dd7d99 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.