Triple
T19512997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | “Untitled” (Loverboy) |
E488202
|
entity |
| Predicate | displayCharacteristic |
P56672
|
FINISHED |
| Object | viewers pass through or near the curtains |
—
|
LITERAL 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: viewers pass through or near the curtains | Statement: [“Untitled” (Loverboy), displayCharacteristic, viewers pass through or near the curtains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayCharacteristic Context triple: [“Untitled” (Loverboy), displayCharacteristic, viewers pass through or near the curtains]
-
A.
eraCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given historical or temporal era.
-
B.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
-
C.
describesCharacteristicOf
chosen
Indicates that one entity expresses or specifies a characteristic, feature, or property of another entity.
-
D.
maskCharacteristic
Indicates that one entity serves to conceal, obscure, or alter the apparent characteristics or properties of another entity.
-
E.
formatCharacteristics
Indicates how something is structured, arranged, or presented in terms of its format or layout.
- F. None of above.
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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63599c17881909a392a6026e45955 |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.