Triple
T22448130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunpowder |
E554916
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Liv Tyler |
—
|
NE NERFINISHED |
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: Liv Tyler | Statement: [Gunpowder, starring, Liv Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liv Tyler Context triple: [Gunpowder, starring, Liv Tyler]
-
A.
Liv Tyler
chosen
Liv Tyler is an American actress and former model best known for her role as the elf Arwen in Peter Jackson’s The Lord of the Rings film trilogy.
-
B.
Lauren Holly
Lauren Holly is an American-Canadian actress best known for her roles in films like "Dumb and Dumber" and the TV series "NCIS."
-
C.
Kristy McNichol
Kristy McNichol is an American actress best known for her Emmy-winning role on the TV drama "Family" and her work in films like "Little Darlings" and "Only When I Laugh."
-
D.
Minka Kelly
Minka Kelly is an American actress known for her roles in television series such as "Friday Night Lights" and "Parenthood," as well as films including "The Roommate" and "The Butler."
-
E.
Jami Gertz
Jami Gertz is an American actress known for her roles in 1980s films and television series, including standout performances in movies like "The Lost Boys" and "Quicksilver."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b48be0481909f4601b732424e5b |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.