Triple
T5353429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman Forever |
E102630
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Bruce Wayne |
E367183
|
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: Bruce Wayne | Statement: [Batman Forever, character, Bruce Wayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Wayne Context triple: [Batman Forever, character, Bruce Wayne]
-
A.
Bruce Wayne
chosen
Bruce Wayne is the wealthy Gotham City industrialist and philanthropist who secretly operates as the vigilante superhero Batman.
-
B.
Thomas Wayne
Thomas Wayne is a wealthy Gotham City philanthropist and father of Bruce Wayne, whose murder becomes a pivotal catalyst in Batman’s origin story.
-
C.
Harvey Dent
Harvey Dent is a prominent Gotham City district attorney who becomes the tragic, disfigured villain Two-Face in the Batman universe.
-
D.
Tony Starks
Tony Starks is an alias of Ghostface Killah, the influential Wu-Tang Clan rapper known for his vivid storytelling and distinctive, soulful style.
-
E.
Hardy Justice
Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86149774819084049a8785e3f2e0 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21dbc540819086aca16af1aa6213 |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.