Triple
T11982752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Villains |
E285201
|
entity |
| Predicate | includesCharacter |
P5716
|
FINISHED |
| Object | Scar |
E173069
|
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: Scar | Statement: [Disney Villains, includesCharacter, Scar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scar Context triple: [Disney Villains, includesCharacter, Scar]
-
A.
Scar
chosen
Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
-
B.
Scar
Scar is the ruthless Comanche chief who serves as the primary adversary in the classic Western film "The Searchers."
-
C.
Scar
Scar is a vengeful Ishvalan warrior and key antagonist-turned-antihero in Fullmetal Alchemist, known for using his alchemically enhanced arm to destroy his enemies.
-
D.
Scar
Scar is a visual and musical segment from Beyoncé’s film and album "Black Is King," thematically exploring legacy, identity, and the scars of generational trauma.
-
E.
Scars
"Scars" is a 2004 rock ballad by Papa Roach that became one of the band’s most commercially successful and recognizable songs, noted for its emotional lyrics about pain and healing.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4721913108190bd767c671f6484de |
completed | May 1, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:46 p.m.