Triple
T16686777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lainie Kazan |
E405481
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Big Hit |
E1117169
|
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: The Big Hit | Statement: [Lainie Kazan, notableWork, The Big Hit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Big Hit Context triple: [Lainie Kazan, notableWork, The Big Hit]
-
A.
The Big Hit
chosen
The Big Hit is a 1998 action-comedy film about a beleaguered hitman whose kidnapping scheme spirals out of control.
-
B.
Gangnam Station
Gangnam Station is a major subway and commercial hub in Seoul, South Korea, known for its heavy foot traffic, shopping, nightlife, and association with the global "Gangnam Style" phenomenon.
-
C.
Budda Beats
Budda Beats is a music producer and songwriter known for crafting hip-hop and trap instrumentals, including work on tracks like "Workin Me."
-
D.
Big Bang
The Big Bang was a major deregulation of the London financial markets in 1986 that transformed the City of London into a modern, globally competitive financial center.
-
E.
Big Bang
Big Bang is a hugely influential South Korean boy band credited with popularizing K-pop worldwide through their innovative music, fashion, and performances.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea63b7081908a055036172f9683 |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.