Triple
T6527158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Jackson |
E151333
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Paris-Michael Jackson |
E229599
|
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: Paris-Michael Jackson | Statement: [Paris Jackson, alsoKnownAs, Paris-Michael Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris-Michael Jackson Context triple: [Paris Jackson, alsoKnownAs, Paris-Michael Jackson]
-
A.
Michael Jackson
Michael Jackson was an American singer, songwriter, and dancer known as the "King of Pop," celebrated for his groundbreaking music, iconic dance moves, and immense influence on popular culture.
-
B.
Michael Jackson
Michael Jackson is a software engineer best known for creating the popular JavaScript routing library React Router.
-
C.
Paris-Michael Katherine Jackson
chosen
Paris-Michael Katherine Jackson is an American model, actress, singer, and the only daughter of the late pop icon Michael Jackson.
-
D.
Mike Jackson
Mike Jackson is an actor known for his role in the horror-thriller television series "Swarm."
-
E.
Mike Jackson
Mike Jackson is a central character in P. G. Wodehouse’s Psmith stories, portrayed as a capable, sports-minded schoolboy and loyal friend who often serves as the more grounded counterpart to the eccentric Psmith.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada8a0e48190947616f3a09a2cba |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e416e884819099c788cc3a814414 |
completed | March 27, 2026, 8:09 p.m. |
Created at: March 27, 2026, 1:45 p.m.