Triple
T20935714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monica Rambeau |
E515578
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Spectrum |
—
|
NE NERFINISHED |
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: Spectrum | Statement: [Monica Rambeau, alias, Spectrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spectrum Context triple: [Monica Rambeau, alias, Spectrum]
-
A.
Spectrum
Spectrum is a major American telecommunications brand providing cable television, internet, and phone services, owned by Charter Communications.
-
B.
Spectrum
chosen
Spectrum is a Marvel Comics superhero, also known as Monica Rambeau, who can transform into and manipulate all forms of electromagnetic energy.
-
C.
Spectrum
Spectrum was a notable nightclub and cultural hotspot associated with the UK’s late-1980s acid house movement during the Second Summer of Love.
-
D.
Spectrum
Spectrum was a historic indoor sports and entertainment arena in Philadelphia that hosted professional hockey, basketball, concerts, and major events from the late 1960s until its closure and demolition.
-
E.
Spectrum
"Spectrum" is a popular hip-hop track by American rapper GoldLink, known for its energetic production and genre-blending sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f950d5e081908ec0df4824cf69f7 |
completed | April 21, 2026, 4:13 a.m. |
Created at: April 16, 2026, 12:49 p.m.