Triple
T23477220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mannequin |
E570295
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Mannequin |
—
|
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: Mannequin | Statement: [Mannequin, title, Mannequin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mannequin Context triple: [Mannequin, title, Mannequin]
-
A.
Mannequin
chosen
Mannequin is a 1987 romantic comedy film about a young window dresser who falls in love with a department-store mannequin that magically comes to life, starring Kim Cattrall and Andrew McCarthy.
-
B.
Muñecas
"Muñecas" is a track from the album *Kick II* by Venezuelan experimental pop artist Arca, known for her avant-garde electronic sound.
-
C.
Stick Man
Stick Man is a popular children's picture book, written by Julia Donaldson and illustrated by Axel Scheffler, about a stick figure's adventurous journey to reunite with his family.
-
D.
Mannequins Dance Palace
Mannequins Dance Palace was a popular, high-energy nightclub at Disney’s Pleasure Island known for its rotating dance floor and cutting-edge music and lighting.
-
E.
Manne
Manne is a given name most notably borne by Swedish physicist Manne Siegbahn, a Nobel laureate recognized for his work in X-ray spectroscopy.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:01 p.m.