Triple
T1239105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Malthus |
E26616
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Harriet Eckersall |
E32588
|
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: Harriet Eckersall | Statement: [Thomas Malthus, spouse, Harriet Eckersall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harriet Eckersall Context triple: [Thomas Malthus, spouse, Harriet Eckersall]
-
A.
Harriet Eckersall
chosen
Harriet Eckersall was the wife of the influential British economist and demographer Thomas Robert Malthus.
-
B.
Harriet Burrow
Harriet Burrow was the mother of the influential British philosopher and political economist John Stuart Mill.
-
C.
Frances Rudge
Frances Rudge was the wife of influential American film and theatre director Elia Kazan.
-
D.
Helen Melland
Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
-
E.
Margaret Biggins
Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf41c5d08190b07adbdb24d35a76 |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d762bb0819092685731269e57c4 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 1, 2026, 7:47 p.m.