Triple
T8609476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GTK |
E203881
|
entity |
| Predicate | supportsPlatform |
P203
|
FINISHED |
| Object | Quartz |
E229050
|
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: Quartz | Statement: [GTK, supportsPlatform, Quartz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quartz Context triple: [GTK, supportsPlatform, Quartz]
-
A.
Quartz
Quartz is a digital news outlet known for its global business journalism, data-driven reporting, and mobile-first storytelling.
-
B.
Quartz
chosen
Quartz is Apple's 2D graphics rendering and compositing engine that underpins the visual display system in macOS.
-
C.
Simmonite
Simmonite is the surname of the beloved comedic character Compo from the long-running British sitcom "Last of the Summer Wine."
-
D.
Sunstone
Sunstone is a renowned long-form poem by Mexican Nobel laureate Octavio Paz, celebrated for its circular structure and rich exploration of time, love, and existential reflection.
-
E.
Topaz
Topaz is a silicate mineral gemstone prized for its clarity and range of colors, commonly used in jewelry and often linked to themes of strength and protection.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbb9307c81909b31995c73728e91 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:25 p.m.