Triple
T21438120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King John |
E528866
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Constance |
E246027
|
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: Constance | Statement: [King John, mainCharacter, Constance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Constance Context triple: [King John, mainCharacter, Constance]
-
A.
Constance
chosen
Constance is a feminine given name of Latin origin, historically associated with nobility and meaning steadfastness or constancy.
-
B.
Constance
Constance is a historic city on Lake Constance in present-day Germany, best known as the site of the early 15th-century Council of Constance that ended the Western Schism in the Catholic Church.
-
C.
Constance Marie
Constance Marie is an American actress best known for her roles in television series such as "George Lopez" and "Switched at Birth."
-
D.
Cicely
Cicely is a feminine given name most famously borne by the acclaimed American actress Cicely Tyson.
-
E.
Marjory
Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b53972e48190bc8bbc543173854c |
completed | April 22, 2026, 11:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8fd41d08190a28e5efa6880b879 |
completed | May 17, 2026, 1:56 p.m. |
Created at: April 16, 2026, 6:04 p.m.