Triple
T866877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People |
E18721
|
entity |
| Predicate | hasOnlineEdition |
P57
|
FINISHED |
| Object | People.com |
E18721
|
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: People.com | Statement: [People, hasOnlineEdition, People.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: People.com Context triple: [People, hasOnlineEdition, People.com]
-
A.
Moviefone
Moviefone is an online service that provides movie showtimes, tickets, and related film information to consumers.
-
B.
E!
E! is an American cable television network best known for its entertainment news, celebrity gossip, and pop culture–focused reality programming.
-
C.
People
People is a widely read American weekly magazine focusing on celebrity news, human-interest stories, and popular culture.
-
D.
People (magazine)
chosen
People is a popular American weekly magazine best known for its celebrity news, human-interest stories, and annual features like "Sexiest Man Alive."
-
E.
Forbes
Forbes is a historic rural town in central-west New South Wales, Australia, known for its agricultural industry and heritage architecture along the Lachlan River.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7e12b0819084d25b9a66888a91 |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c9e7ec819081d58634fe0efdcb |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.