Triple
T10887112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Owen |
E257076
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Emma Ferguson |
E257076
|
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: Emma Ferguson | Statement: [Mark Owen, spouse, Emma Ferguson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Ferguson Context triple: [Mark Owen, spouse, Emma Ferguson]
-
A.
Emma Ferguson
chosen
Emma Ferguson is a Scottish actress and the wife of Take That singer Mark Owen.
-
B.
Julie Ferguson
Julie Ferguson is the wife of the late American actor and comedian Charles Grodin.
-
C.
Elizabeth Chetwood
Elizabeth Chetwood was the wife of Aaron Ogden, a prominent early American politician and governor of New Jersey.
-
D.
Kathy Ferguson
Kathy Ferguson is the ambitious and increasingly disillusioned newspaper advice columnist at the center of the 1957 film noir "Crime of Passion," whose choices drive the story’s tragic arc.
-
E.
Cathy Ferguson
Cathy Ferguson is the wife of legendary Scottish football manager Sir Alex Ferguson and is known for her long-standing support throughout his career.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75201e6888190a2bc41a17784eec3 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5099f57ac81909e7734b83ad96a40 |
completed | April 19, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:21 p.m.