Triple
T19128149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celebrity (1998 film) |
E468239
|
entity |
| Predicate | narrativeFocus |
P31
|
FINISHED |
| Object | fame |
—
|
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 | Statement: [Celebrity (1998 film), narrativeFocus, fame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: fame Context triple: [Celebrity (1998 film), narrativeFocus, fame]
-
A.
fame
chosen
Fame is the state of being widely known and recognized by many people, often for notable achievements or public visibility.
-
B.
FAME
FAME is a renowned recording studio in Muscle Shoals, Alabama, famous for its influential role in soul, R&B, and rock music history.
-
C.
Famous
"Famous" is a controversial 2016 hip-hop track by Kanye West, best known for its provocative lyrics referencing Taylor Swift and its high-profile music video.
-
D.
Fame
"Fame" is a hip-hop track by DMX from his 1999 album "...And Then There Was X," reflecting on the pressures and consequences of celebrity status.
-
E.
Fame
"Fame" is a song by American rapper B.o.B featured on his debut studio album *B.o.B Presents: The Adventures of Bobby Ray*.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ceb5808190b3b53d9e8df3605a |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.