Triple
T12277351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Kudrow |
E292621
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Easy A |
E142418
|
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 A | Statement: [Lisa Kudrow, workedOn, Easy A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Easy A Context triple: [Lisa Kudrow, workedOn, Easy A]
-
A.
Easy A
chosen
Easy A is a 2010 teen comedy film that satirizes high school culture and social reputation, starring Emma Stone as a student whose fabricated promiscuity spirals out of control.
-
B.
Easy
"Easy" is a track from Kanye West's album *Donda 2*, notable for its raw, confrontational lyrics and high-profile collaborations.
-
C.
Easy
Easy is a South American home improvement and construction retail chain known for selling building materials, tools, and household products.
-
D.
Easy
"Easy" is a soulful 1977 ballad by the Commodores, written and sung by Lionel Richie, that became one of the group's signature hits.
-
E.
Easy
Easy is an anthology-style Netflix comedy-drama series created by Joe Swanberg that explores modern relationships, sex, and technology in Chicago through loosely connected stories.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf06cf08190ac8671dd9bbed03d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a959e7c8190a005f20728cb71e0 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:52 p.m.