Triple
T5890958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebel.com |
E130985
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Rebel.com |
E130985
|
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: Rebel.com | Statement: [Rebel.com, hasName, Rebel.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebel.com Context triple: [Rebel.com, hasName, Rebel.com]
-
A.
Rebel.com
chosen
Rebel.com is an internet services company best known as a domain name registrar and web hosting provider.
-
B.
REBLS
REBLS is a specialized academic workshop focused on research advances in programming languages and software systems, typically held as part of the SPLASH conference.
-
C.
Rebel
Rebel is an off-road-focused trim of the Ram 1500 pickup truck, featuring rugged styling and enhanced off-road capability.
-
D.
Rebel
Rebel is a television drama series starring Katey Sagal as a blue-collar legal advocate inspired by the life and work of activist Erin Brockovich.
-
E.
Revolt TV
Revolt TV is a music-oriented cable television network and media company founded by Sean "P. Diddy" Combs that focuses on hip-hop culture, news, and lifestyle programming.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b228508190b050acf51860a5c2 |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b14c2ff081908243988d5815be6d |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.