Triple
T11959118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clang-Tidy |
E284623
|
entity |
| Predicate | hasCheckCategory |
P82611
|
FINISHED |
| Object |
E1096
|
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: google | Statement: [Clang-Tidy, hasCheckCategory, google]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: google Context triple: [Clang-Tidy, hasCheckCategory, google]
-
A.
Google
chosen
Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
-
B.
Goole
Goole is an inland port town in the East Riding of Yorkshire, England, known for its significant docks and role in regional maritime trade.
-
C.
OGLE
OGLE (Optical Gravitational Lensing Experiment) is a long-term astronomical survey focused on detecting dark matter, exoplanets, and variable stars through gravitational microlensing and photometric monitoring.
-
D.
Go.com
Go.com is a web portal and online services brand owned by The Walt Disney Company that historically aggregated search, news, entertainment, and other internet content.
-
E.
Baidu
Baidu is a leading Chinese technology company best known for its dominant search engine and extensive work in artificial intelligence.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9036941948190b150369094551731 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459210d1c8190953cd01da3d2ad04 |
completed | May 1, 2026, 7:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.