Triple
T8036450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizzy Caplan |
E187119
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Party Down |
E189824
|
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: Party Down | Statement: [Lizzy Caplan, notableWork, Party Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Party Down Context triple: [Lizzy Caplan, notableWork, Party Down]
-
A.
Party Down
chosen
Party Down is a cult-favorite American comedy series about struggling actors and writers working for a Los Angeles catering company, known for its sharp wit and ensemble cast.
-
B.
Partytime
"Partytime" is a song featured on the album *The Cookbook* by Missy Elliott.
-
C.
The Hustle
The Hustle is a 2019 comedy film starring Anne Hathaway and Rebel Wilson as con artists who compete and collaborate in a gender-flipped reimagining of the classic scam-artist storyline.
-
D.
Life of da Party
"Life of da Party" is a track by Snoop Dogg from his album *Ego Trippin'* that showcases his laid-back West Coast rap style and party-centric lyrics.
-
E.
The Party Crashers
The Party Crashers is a 1958 American teen drama film about rebellious suburban youth, featuring an early performance by actress Frances Farmer.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f188e1c8190b92760c91d31f2df |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56fa97ac8190a0bd646d9ec345e4 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.