Triple
T11037023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes |
E260911
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Sylar |
E508790
|
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: Sylar | Statement: [Heroes, hasMainCharacter, Sylar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylar Context triple: [Heroes, hasMainCharacter, Sylar]
-
A.
Sylar
chosen
Sylar is the primary superpowered serial killer antagonist in the television series "Heroes," known for his ability to understand and steal others' abilities.
-
B.
Jerome Valeska
Jerome Valeska is a sadistic, anarchic criminal and proto-Joker figure in the TV series "Gotham," known for his maniacal laughter and chaotic schemes.
-
C.
Jeremiah Valeska
Jeremiah Valeska is a major antagonist in the TV series "Gotham," known as one of the show's Joker-inspired villains and the twin brother of Jerome Valeska.
-
D.
Marcus Kane
Marcus Kane is a central political leader and moral compass in the post-apocalyptic TV series "The 100," known for his evolution from strict authoritarian to compassionate advocate for peace.
-
E.
Maxim Knight
Maxim Knight is an American actor best known for his role as Matt Mason on the science fiction television series "Falling Skies."
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e9e3fc8190802195ac9fcb8e28 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9c669608190af97c461beaf9f31 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.