Triple
T2313974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python wordmark |
E51020
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Python branding |
E51020
|
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: Python branding | Statement: [Python wordmark, partOf, Python branding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Python branding Context triple: [Python wordmark, partOf, Python branding]
-
A.
Python wordmark
chosen
The Python wordmark is the official stylized text logo representing the Python programming language and its brand.
-
B.
Brand
Brand is a key astronaut and scientist in the film "Interstellar," serving as one of the central figures in humanity's mission to find a new habitable world.
-
C.
Logos
Logos is a central concept in Christian theology referring to the divine Word or reason of God, identified with Christ as the preexistent and incarnate Son.
-
D.
The Logo
The Logo is the famous nickname of NBA legend Jerry West, referencing his iconic silhouette used in the league’s official logo.
-
E.
Brand Nu
Brand Nu is a music record label associated with the artist or group known as B7.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61c1ef08190911d5f58c2e91189 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae895f5420819087b403e9772dce9a |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.