Triple
T22769154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Glass |
E563205
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | The Mirror |
—
|
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: The Mirror | Statement: [Sidney Glass, alsoKnownAs, The Mirror]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Mirror Context triple: [Sidney Glass, alsoKnownAs, The Mirror]
-
A.
The Mirror
"The Mirror" is a song by the rock band Rebel Soul, known for its introspective lyrics and emotive, guitar-driven sound.
-
B.
The Mirror
The Mirror is a painting by Irish artist William Orpen, known for its refined realism and psychological insight into its sitter.
-
C.
The Mirror
The Mirror is a 1997 Iranian film by Jafar Panahi that blurs the line between fiction and reality as it follows a young girl trying to find her way home through Tehran.
-
D.
The Mirror
chosen
The Mirror is an episode title that likely belongs to a serialized narrative, such as a television show or audio drama, known for its reflective or introspective themes.
-
E.
The Mirror
The Mirror is a studio album by American rapper Ja Rule (born Jeffrey Bruce Atkins), showcasing his early 2000s hip hop and R&B-influenced style.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.