Triple
T1451674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walkaway |
E31303
|
entity |
| Predicate | hasReviewIn |
P1394
|
FINISHED |
| Object | The Guardian |
E39599
|
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: The Guardian | Statement: [Walkaway, hasReviewIn, The Guardian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Guardian Context triple: [Walkaway, hasReviewIn, The Guardian]
-
A.
The Guardian
chosen
The Guardian is a British daily newspaper known for its progressive editorial stance and in-depth coverage of national and international news, culture, and opinion.
-
B.
Scoop
Scoop is a satirical novel by Evelyn Waugh that lampoons sensationalist journalism and foreign correspondence.
-
C.
The Gray Lady
The Gray Lady is a longstanding nickname for The New York Times, reflecting its reputation as a serious, authoritative, and traditional American newspaper.
-
D.
The Times
The Times is a long-established and influential British daily newspaper known for its national and international news coverage, commentary, and analysis.
-
E.
El Espectador
El Espectador is one of Colombia’s oldest and most influential national newspapers, known for its investigative journalism and cultural reporting.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c9df014081908a6e2f41ba012ecc |
completed | March 1, 2026, 11:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08c6f7c881908d1ef9f7897895a6 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.