Triple
T3147692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E! |
E65801
|
entity |
| Predicate | logoText |
P3623
|
FINISHED |
| Object | E! |
E65801
|
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: E! | Statement: [E!, logoText, E!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E! Context triple: [E!, logoText, E!]
-
A.
E!
chosen
E! is an American cable television network best known for its entertainment news, celebrity gossip, and pop culture–focused reality programming.
-
B.
Good Morning America
Good Morning America is a long-running American morning television show on ABC that features news, interviews, and lifestyle segments.
-
C.
Moviefone
Moviefone is an online service that provides movie showtimes, tickets, and related film information to consumers.
-
D.
Entertainment Weekly
Entertainment Weekly is an American magazine and digital media brand that covers film, television, music, books, and pop culture news, reviews, and commentary.
-
E.
Shondaland
Shondaland is a television production company founded by writer-producer Shonda Rhimes, best known for creating popular, character-driven drama series such as Grey’s Anatomy and Scandal.
- 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276edde308190b26ac47ae1a79ce1 |
completed | March 12, 2026, 8:18 a.m. |
Created at: March 8, 2026, 3:05 p.m.