Triple
T6626244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surrey Advertiser |
E149808
|
entity |
| Predicate | formerPublisher |
P2361
|
FINISHED |
| Object | Trinity Mirror |
E173813
|
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: Trinity Mirror | Statement: [Surrey Advertiser, formerPublisher, Trinity Mirror]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trinity Mirror Context triple: [Surrey Advertiser, formerPublisher, Trinity Mirror]
-
A.
Trinity Mirror
chosen
Trinity Mirror is a major British newspaper and publishing company best known for owning the Daily Mirror and other national and regional titles.
-
B.
Mirrors
"Mirrors" is a 2013 pop and R&B ballad by Justin Timberlake, known for its reflective lyrics about lasting love and its expansive, multi-part production.
-
C.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
D.
Touchstone
Touchstone is the witty and sharp-tongued court jester in Shakespeare’s comedy "As You Like It," known for his clever wordplay and satirical commentary.
-
E.
The Miracle
The Miracle is a theatrical production best known for featuring the celebrated English actress and socialite Lady Diana Cooper in a prominent role.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa0feb0819099629c0fba590a05 |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44d356c8190ad4f2a617c3de4af |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.