Triple
T6608389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Tower |
E149175
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | Peel Media |
E149170
|
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: Peel Media | Statement: [Orange Tower, owner, Peel Media]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peel Media Context triple: [Orange Tower, owner, Peel Media]
-
A.
Peel Media
chosen
Peel Media is a UK-based property and media company best known for developing and operating the MediaCityUK creative and digital hub in Salford and Trafford.
-
B.
Relativity Media
Relativity Media is an American film and media company known for financing, producing, and distributing a wide range of Hollywood movies across various genres.
-
C.
Gawker Media
Gawker Media was a now-defunct American online media company known for its network of influential blogs covering gossip, technology, feminism, and pop culture.
-
D.
Atlantic Media
Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
-
E.
Opera News
Opera News is a personalized news and content aggregation app focused on delivering trending stories, videos, and local updates, particularly popular in emerging markets.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af31c4748190ab5027771c9ce5b2 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43cc42081909762eec710773f40 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.