Triple
T6995590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiersey Clemons |
E162203
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Easy (TV series) |
E634441
|
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: Easy (TV series) | Statement: [Kiersey Clemons, workedOn, Easy (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easy (TV series) Context triple: [Kiersey Clemons, workedOn, Easy (TV series)]
-
A.
Easy (TV series)
chosen
Easy is an American anthology comedy-drama television series created by Joe Swanberg that explores modern love, relationships, and technology through loosely connected stories set in Chicago.
-
B.
Nice ’n’ Easy
Nice ’n’ Easy is a popular song with lyrics by Alan and Marilyn Bergman, best known through Frank Sinatra’s smooth, laid-back 1960 recording.
-
C.
EZY
EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
-
D.
So Simple
"So Simple" is a song by American singer-songwriter Alicia Keys from her album "The Diary of Alicia Keys."
-
E.
Too Easy
"Too Easy" is a song by Kanye West featured on his album "Donda 2."
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbec259c8190bb4cfbc1ff6fc786 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77551f85881909893d67176ee5556 |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:32 p.m.