Triple
T2486183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Major |
E55931
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Norma Major |
E55931
|
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: Norma Major | Statement: [John Major, spouse, Norma Major]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norma Major Context triple: [John Major, spouse, Norma Major]
-
A.
Norma Major
chosen
Norma Major is a British charity campaigner and author best known as the wife of former UK Prime Minister John Major.
-
B.
Rosita Douglas
Rosita Douglas is a Swedish-born aristocrat and former model best known as the first wife of John George Vanderbilt Henry Spencer-Churchill, the 11th Duke of Marlborough.
-
C.
Norma Crane
Norma Crane was an American actress best known for her role as Golde, Tevye’s wife, in the film adaptation of the musical "Fiddler on the Roof."
-
D.
Bertha Navarro
Bertha Navarro is a Mexican film producer best known for her long-time collaboration with director Guillermo del Toro on acclaimed genre and art-house films.
-
E.
Norma
Norma is a feminine given name used in various cultures, often considered the female counterpart of the name Norman.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd17705488190b90b1aa66dd25972 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f8ee974819082a2a29f8b72d131 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:45 p.m.