Triple
T17396550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debbie Allen |
E422968
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fame (TV series) |
—
|
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: Fame (TV series) | Statement: [Debbie Allen, notableWork, Fame (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fame (TV series) Context triple: [Debbie Allen, notableWork, Fame (TV series)]
-
A.
Fame (TV series)
chosen
Fame is an American musical drama television series from the 1980s that follows students and faculty at a New York City performing arts high school as they pursue their artistic dreams and personal ambitions.
-
B.
Fame
"Fame" is a song by Janet Jackson, known as one of her dance-pop tracks that showcases her signature rhythmic style and performance energy.
-
C.
Fame
Fame was a record label associated with releasing music by the British rock band Marillion and other artists.
-
D.
Fame
Fame is the personified concept of widespread renown or reputation, often depicted in art and literature as a winged figure heralding glory or notoriety.
-
E.
Fame
"Fame" is a hip-hop track by GZA that reflects on the nature of celebrity and recognition through his characteristic intricate wordplay and storytelling.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abd9b748190bd55c863276d9e3a |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.