Triple
T12763170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Optimum Voice |
E305045
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | Optimum |
E305043
|
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: Optimum | Statement: [Optimum Voice, brandOf, Optimum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Optimum Context triple: [Optimum Voice, brandOf, Optimum]
-
A.
Optimum
chosen
Optimum is a telecommunications brand offering cable television, internet, and phone services, primarily in the United States.
-
B.
Best of the Best
Best of the Best is a 1989 American martial arts sports drama film about a U.S. taekwondo team competing against South Korea, known for its intense tournament action and ensemble cast.
-
C.
The Standard of Excellence
The Standard of Excellence is the guiding motto of Hampton University, reflecting its commitment to high academic achievement, leadership, and character.
-
D.
The Best
"The Best" is a powerful pop-rock anthem popularized by Tina Turner that has become one of her signature songs and an enduring inspirational hit.
-
E.
The Best at It
The Best at It is a middle-grade novel by Maulik Pancholy about an Indian American boy navigating identity, anxiety, and first crushes in a small Midwestern town.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8f9f588190bffdea878856204b |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af4bd22c819091050e5a40a4a96a |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:28 p.m.