Triple
T13434863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Queer Cinema |
E320202
|
entity |
| Predicate | hasNotableFilm |
P26606
|
FINISHED |
| Object | Swoon |
E464760
|
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: Swoon | Statement: [New Queer Cinema, hasNotableFilm, Swoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swoon Context triple: [New Queer Cinema, hasNotableFilm, Swoon]
-
A.
Swoon
chosen
Swoon is a 1992 American independent drama film directed by Tom Kalin that dramatizes the infamous 1924 Leopold and Loeb murder case.
-
B.
The Wallflower
"The Wallflower" is a 1955 R&B song by Etta James, also known as "Roll with Me, Henry," that became one of her early breakout hits and a classic of the genre.
-
C.
The Glamour
The Glamour is a psychological science fiction novel by Christopher Priest that explores identity, perception, and reality through an unreliable narrator and shifting layers of memory.
-
D.
Sway
Sway is a skilled and resourceful associate of car thief Memphis Raines in the film "Gone in 60 Seconds."
-
E.
Sway
Sway is a tiling Wayland compositor and window manager designed as a drop-in, i3-compatible replacement for X11-based setups.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee29fec81908b07b4fca2922242 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739902d148190ac14ac66f1f9512f |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.