Triple
T920954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delicious |
E19880
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Pinboard |
E107970
|
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: Pinboard | Statement: [Delicious, influenced, Pinboard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinboard Context triple: [Delicious, influenced, Pinboard]
-
A.
del.icio.us
chosen
del.icio.us was a pioneering social bookmarking web service that allowed users to save, tag, and share links online.
-
B.
Diigo
Diigo is a social bookmarking and web annotation service that lets users save, tag, highlight, and share online resources.
-
C.
Tumblr
Tumblr is a microblogging and social networking platform known for its highly customizable blogs, fandom communities, and viral multimedia content.
-
D.
Google Keep
Google Keep is a note-taking and organizing app by Google that lets users quickly capture, sync, and access notes, lists, and reminders across devices.
-
E.
Little Red Book
The Little Red Book is a widely distributed collection of political quotations by Chinese leader Mao Zedong that became a central propaganda and ideological text during the Cultural Revolution.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3120dbc81908362158fe3ffa889 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826d8f9408190aa286bb809507797 |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:40 p.m.