Triple
T4694794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan E. Donoghue |
E104116
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Joan |
E177136
|
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: Joan | Statement: [Joan E. Donoghue, givenName, Joan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Context triple: [Joan E. Donoghue, givenName, Joan]
-
A.
Joan
Joan is the middle name of Margaret Trudeau, the Canadian author, actress, and former wife of Prime Minister Pierre Trudeau.
-
B.
Joan
chosen
Joan is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
-
C.
Joan
Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
-
D.
Joanna
Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
-
E.
Joan Marshal
Joan Marshal was a 13th-century Anglo-Norman noblewoman, one of the daughters of the famed knight and statesman William Marshal, 1st Earl of Pembroke.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63b1cee481908a8fb5eeb359cc00 |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03c093ac8190869aab6abcfd571f |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:17 p.m.