Triple
T16864174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Today (British newspaper) |
E409995
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Eddie Shah |
E1236859
|
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: Eddie Shah | Statement: [Today (British newspaper), publisher, Eddie Shah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Shah Context triple: [Today (British newspaper), publisher, Eddie Shah]
-
A.
Eddie Shah
chosen
Eddie Shah is a British businessman and former newspaper publisher best known for pioneering the use of new printing technologies and launching the national tabloid Today in the 1980s.
-
B.
Eddie Tabash
Eddie Tabash is an American atheist lawyer and civil liberties advocate known for his public debates defending secularism and challenging theism.
-
C.
Eddie Garr
Eddie Garr was an American actor and comedian best known as the father of actress Teri Garr.
-
D.
Eddie Spears
Eddie Spears is a Native American actor known for his roles in film and television, particularly in Western and Indigenous-themed productions.
-
E.
Eddie Marr
Eddie Marr was an American character actor active in the mid-20th century, known for supporting roles in numerous Hollywood films and television shows.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b505a390819097ec31cd210eca60 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a929b081909d3a5a680ae93a78 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.