Triple
T13933113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Keynote Speaker |
E335040
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
"Fame"
"Fame" is a section or component of the work "The Keynote Speaker," likely focusing on themes of recognition, celebrity, or public acclaim.
|
E1037741
|
NE FINISHED |
How this triple was built (4 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: [The Keynote Speaker, hasPart, "Fame"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Fame" Context triple: [The Keynote Speaker, hasPart, "Fame"]
-
A.
Fame
Fame is a 1980 American musical drama film about students at a New York performing arts high school, known for its energetic dance sequences and iconic title song.
-
B.
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.
-
C.
Fame
"Fame" is a 1975 funk-influenced song by David Bowie, co-written with John Lennon and Carlos Alomar, that became one of his signature hits and a U.S. number-one single.
-
D.
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.
-
E.
Fame
Fame was a record label associated with releasing music by the British rock band Marillion and other artists.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: "Fame" Triple: [The Keynote Speaker, hasPart, "Fame"]
Generated description
"Fame" is a section or component of the work "The Keynote Speaker," likely focusing on themes of recognition, celebrity, or public acclaim.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Fame" Target entity description: "Fame" is a section or component of the work "The Keynote Speaker," likely focusing on themes of recognition, celebrity, or public acclaim.
-
A.
Fame
Fame is a 1980 American musical drama film about students at a New York performing arts high school, known for its energetic dance sequences and iconic title song.
-
B.
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.
-
C.
Fame
"Fame" is a 1975 funk-influenced song by David Bowie, co-written with John Lennon and Carlos Alomar, that became one of his signature hits and a U.S. number-one single.
-
D.
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.
-
E.
Fame
chosen
Fame is the personified concept of widespread renown or reputation, often depicted in art and literature as a winged figure heralding glory or notoriety.
- F. None of above.
Provenance (5 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f9fd5b82f48190b0b89ddca25883cc |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f9fea0a9dc8190b5b65dfec9626949 |
completed | May 5, 2026, 2:28 p.m. |
Created at: April 9, 2026, 10:17 p.m.