Triple
T13217509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan of France |
E314657
|
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 of France, givenName, Joan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Context triple: [Joan of France, givenName, Joan]
-
A.
Joan
Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
-
B.
Joan
Joan is the middle name of Margaret Trudeau, the Canadian author, actress, and former wife of Prime Minister Pierre Trudeau.
-
C.
Joan
chosen
Joan is a feminine given name of Hebrew origin, commonly used in English-speaking countries.
-
D.
Joan
Joan is a central character in the 1986 romantic comedy-drama film "About Last Night," which explores the complexities of modern relationships.
-
E.
Joan the Woman
Joan the Woman is a 1916 silent historical drama film directed by Cecil B. DeMille that portrays the life and martyrdom of Joan of Arc.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf392e08190949ee4d194566395 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2085f88190be8cfc309d21f9cb |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:18 p.m.