Triple
T10843536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barcode Face |
E255949
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Barcode Face |
E255949
|
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: Barcode Face | Statement: [Barcode Face, title, Barcode Face]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barcode Face Context triple: [Barcode Face, title, Barcode Face]
-
A.
Barcode Face
chosen
Barcode Face is a contemporary art piece by Canadian painter Wanda Koop that explores themes of identity and surveillance through stylized, barcode-like facial imagery.
-
B.
Thumbprint
"Thumbprint" is a horror novella by Joe Hill that follows a traumatized Iraq War veteran who becomes the target of a menacing and mysterious stalker.
-
C.
Leap Card
Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
-
D.
Face ID
Face ID is Apple's facial recognition system that securely unlocks devices and authorizes actions like payments and app logins using a 3D scan of the user's face.
-
E.
Barcode skyline
Barcode skyline is a distinctive row of modern high-rise buildings along Oslo’s waterfront, known for its varied “barcode-like” silhouette and role in the city’s contemporary architectural identity.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750cf3fd08190b9c509929dc43284 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb153de988190bd48f1c1980d7ca2 |
completed | April 14, 2026, 9:27 p.m. |
Created at: April 8, 2026, 9:19 p.m.