Triple
T6291942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirror |
E141037
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Mirror |
E216755
|
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: Mirror | Statement: [Mirror, hasTitle, Mirror]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirror Context triple: [Mirror, hasTitle, Mirror]
-
A.
Mirror
"Mirror" is a reflective, introspective hip-hop/R&B song by Lil Wayne featuring Bruno Mars, known for its emotional lyrics and soulful hook.
-
B.
Mirror
chosen
Mirror is a 1975 Russian art film by director Andrei Tarkovsky that blends poetry, memory, and dreamlike imagery in a non-linear meditation on personal and collective history.
-
C.
Mirrors
"Mirrors" is a 2013 pop and R&B ballad by Justin Timberlake, known for its reflective lyrics about lasting love and its expansive, multi-part production.
-
D.
Sky Mirror
Sky Mirror is a large, concave stainless-steel outdoor sculpture by Anish Kapoor that reflects and distorts the sky and surroundings like a giant mirror.
-
E.
Mirror, Mirror
"Mirror, Mirror" is a classic Star Trek: The Original Series episode that introduces the iconic "mirror universe," depicting darker alternate versions of the Enterprise crew.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0641ea224819097b6962e6014c690 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51983afd081908d2cfeaeccb40bcb |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.