Triple
T3286266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Keaton |
E68988
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Bruce Wayne |
E74786
|
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: [Michael Keaton, portrayed, Bruce Wayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bruce Wayne Context triple: [Michael Keaton, portrayed, Bruce Wayne]
-
A.
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.
-
B.
Harvey Dent
Harvey Dent is a prominent Gotham City district attorney who becomes the tragic, disfigured villain Two-Face in the Batman universe.
-
C.
Hardy Justice
Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
-
D.
Alfred Pennyworth
Alfred Pennyworth is Bruce Wayne’s loyal butler, caretaker, and confidant in the Batman franchise, often serving as a moral compass and providing support for Batman’s crime-fighting activities.
-
E.
Batman
chosen
Batman is a popular DC Comics superhero and cultural icon known for fighting crime in Gotham City using his intellect, detective skills, and advanced technology instead of superhuman powers.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05779d08190a5517951e71b1380 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e85b6a1081908581b2040b8ce261 |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.