Triple
T2854288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman Returns |
E63163
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Daniel Waters |
E296915
|
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: Daniel Waters | Statement: [Batman Returns, storyBy, Daniel Waters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Waters Context triple: [Batman Returns, storyBy, Daniel Waters]
-
A.
Daniel Waters
chosen
Daniel Waters is an American screenwriter best known for his sharp, satirical scripts, including the cult classic film "Heathers" and the sci-fi action movie "Demolition Man."
-
B.
Scott Neustadter
Scott Neustadter is an American screenwriter best known for co-writing films such as "(500) Days of Summer," "The Fault in Our Stars," and other adaptations of popular novels.
-
C.
Brian Yorkey
Brian Yorkey is an American playwright, lyricist, and screenwriter best known for co-creating the Pulitzer Prize–winning musical "Next to Normal."
-
D.
Jason Beattie
Jason Beattie is a music video director known for his work on the video for the song "Adorn."
-
E.
Justin Marks
Justin Marks is an American screenwriter best known for writing Disney's live-action adaptation of The Jungle Book (2016) and other film and television projects.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5f21348190a574fa86bc71c76f |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03141ec9c8190b8163fdfc00c1ee3 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:02 p.m.