Triple
T11037020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes |
E260911
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Niki Sanders |
E771986
|
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: Niki Sanders | Statement: [Heroes, hasMainCharacter, Niki Sanders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niki Sanders Context triple: [Heroes, hasMainCharacter, Niki Sanders]
-
A.
Niki Sanders
chosen
Niki Sanders is a central character from the television series "Heroes," known for her superhuman strength and dissociative identity disorder.
-
B.
Niki Harris
Niki Harris is a character in the musical "Curtains," known as a sweet and somewhat naive chorus girl who becomes romantically involved with the show’s detective.
-
C.
Nikki Jones
Nikki Jones is the ambitious young protagonist navigating the early 1990s New York hip-hop industry in the television drama series "The Breaks."
-
D.
Nikki Budzinski
Nikki Budzinski is an American Democratic politician and U.S. Representative from Illinois who previously worked as a labor and policy advisor.
-
E.
Niki Taylor
Niki Taylor is an American supermodel who rose to prominence in the 1990s, known for her numerous high-profile magazine covers and major beauty and fashion campaigns.
- 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.