Triple
T16229034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 88 Minutes |
E393930
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Leelee Sobieski |
E602824
|
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: Leelee Sobieski | Statement: [88 Minutes, starring, Leelee Sobieski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leelee Sobieski Context triple: [88 Minutes, starring, Leelee Sobieski]
-
A.
Leelee Sobieski
chosen
Leelee Sobieski is an American former actress known for her roles in late-1990s and early-2000s films such as "Eyes Wide Shut," "Never Been Kissed," and "Joan of Arc."
-
B.
Khaela Maricich
Khaela Maricich is an American singer-songwriter and performance artist best known as the lead member of the indie pop project The Blow.
-
C.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
-
D.
Lauren Weedman
Lauren Weedman is an American actress, comedian, and writer known for her sharp, character-driven comedy and appearances in film, television, and solo stage shows.
-
E.
Kimberlee Acquaro
Kimberlee Acquaro is an American filmmaker, journalist, and activist known for her documentaries and writing on social justice, gender, and human rights issues.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2889688190ac04e4e9479cabf4 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006796bed4819085d988d7f2d7afcb |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:03 a.m.