Triple
T23383539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eProps |
E593814
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Xanga blogging platform |
—
|
NE NERFINISHED |
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: Xanga blogging platform | Statement: [eProps, associatedWith, Xanga blogging platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xanga blogging platform Context triple: [eProps, associatedWith, Xanga blogging platform]
-
A.
Xanga
chosen
Xanga is a now largely defunct early 2000s social networking and blogging platform that allowed users to create personal blogs, share posts, and interact through comments and subscriptions.
-
B.
Angelfire
Angelfire is a web hosting and website-building service best known for providing free personal homepages during the early days of the consumer internet.
-
C.
Angelfire
Angelfire is an acoustic rock duo featuring guitarist Steve Morse and vocalist Sarah Spencer, known for its melodic, folk-influenced sound.
-
D.
Ning
Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
-
E.
Blogger
Blogger is a popular online platform that allows users to create, publish, and manage personal or professional blogs on the web.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a496ae34819090e86c89eef6d2dc |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:34 p.m.