Triple
T35951997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King and Four Queens |
E1039752
|
entity |
| Predicate | widowsInPlot |
P184268
|
FINISHED |
| Object | four widows |
—
|
LITERAL 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: four widows | Statement: [The King and Four Queens, widowsInPlot, four widows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widowsInPlot Context triple: [The King and Four Queens, widowsInPlot, four widows]
-
A.
isWidowedFatherOf
Indicates that a person is the father of another person and that his spouse has died, leaving him widowed.
-
B.
hasMarriagePlot
Indicates that the work’s narrative centrally involves courtship, romantic relationships, or the progression toward marriage as a key plot element.
-
C.
numberOfHusbandsKilled
Indicates the count of husbands that an entity has killed.
-
D.
diedUnmarried
Indicates that a person’s death occurred while they were not married.
-
E.
الزوجة
Indicates that one entity is the wife (spouse in a marital relationship) of another entity.
- F. None of above. chosen
Provenance (4 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.