Triple
T14538149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carol Apps |
E341103
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Apps |
E1103942
|
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: Apps | Statement: [Carol Apps, familyName, Apps]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apps Context triple: [Carol Apps, familyName, Apps]
-
A.
Apps
chosen
Apps is an English-language surname borne by various individuals, including figures such as Sylvanus Apps.
-
B.
ABC app
ABC app is a streaming platform from the ABC television network that lets viewers watch live and on-demand ABC programming, including college football broadcasts.
-
C.
API Apps
API Apps are Azure App Service components designed for hosting, managing, and scaling RESTful APIs with built-in features like authentication, monitoring, and automatic deployment.
-
D.
World App
World App is a mobile cryptocurrency wallet developed for the Worldcoin ecosystem, enabling users to manage digital assets and interact with Worldcoin’s identity and financial services.
-
E.
App Library for iOS
App Library for iOS is a feature that automatically organizes iPhone apps into categorized collections and a single, streamlined view to simplify app management and access.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bb90008190947ac0961393446d |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94acd8288190a91bf09220126e13 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:22 a.m.