Triple
T16325406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kari Lizer |
E396398
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Smash |
E26329
|
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: Smash | Statement: [Kari Lizer, notableWork, Smash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smash Context triple: [Kari Lizer, notableWork, Smash]
-
A.
Smash
chosen
Smash is an American musical drama television series that follows the creation of a Broadway show about Marilyn Monroe, featuring Jennifer Hudson in a prominent role.
-
B.
Smash
Smash is a 1994 punk rock album by The Offspring that became a breakthrough commercial success and a defining record of 1990s punk.
-
C.
Smash
Smash is a stage play by Jason Grote that reimagines George Bernard Shaw’s "Man and Superman" through a contemporary, satirical lens.
-
D.
Smash 'n' Grab
"Smash 'n' Grab" is a song featured on the album *Black Ice* by Australian rock band AC/DC.
-
E.
Super Smash Bros.
Super Smash Bros. is a popular crossover fighting game series by Nintendo that features characters from various franchises battling on dynamic stages with unique items and mechanics.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b9dcb88190beb0ca2206729175 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ca9f08190aa95560fea482dd4 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.