Triple
T8962897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Kinberg |
E214050
|
entity |
| Predicate | wroteScreenplayFor |
P15305
|
FINISHED |
| Object | Dark Phoenix |
E136604
|
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: Dark Phoenix | Statement: [Simon Kinberg, wroteScreenplayFor, Dark Phoenix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Phoenix Context triple: [Simon Kinberg, wroteScreenplayFor, Dark Phoenix]
-
A.
Dark Phoenix
chosen
Dark Phoenix is a 2019 superhero film in the X-Men franchise that centers on Jean Grey’s transformation into the immensely powerful and dangerous Phoenix.
-
B.
Eternals
Eternals is a 2021 Marvel Studios superhero film set in the Marvel Cinematic Universe, following a group of immortal beings who secretly protect Earth from ancient cosmic threats.
-
C.
Logan
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.
-
D.
Logan
Logan is a name commonly used as both a given name and surname in English-speaking countries.
-
E.
Logan
Logan is a neighborhood in Wyoming, Ohio, that serves as the community surrounding the Wyoming train station.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6749e5008190a01f42a2e772dd54 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb8aff9c81908554788f583925bf |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 7:01 p.m.