Triple
T17123969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Seresin |
E415539
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Fame |
E575972
|
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: Fame | Statement: [Michael Seresin, workedOn, Fame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fame Context triple: [Michael Seresin, workedOn, Fame]
-
A.
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.
-
B.
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.
-
C.
Fame
chosen
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.
-
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 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.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80b7e6881909f7635875549a2f1 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014147db18819083e6cfbb597687c1 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.