Triple
T14190283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nora Eddington |
E351693
|
entity |
| Predicate | startTimeOfMarriageToErrolFlynn |
P113144
|
FINISHED |
| Object | 1943 |
—
|
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: 1943 | Statement: [Nora Eddington, startTimeOfMarriageToErrolFlynn, 1943]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageToErrolFlynn Context triple: [Nora Eddington, startTimeOfMarriageToErrolFlynn, 1943]
-
A.
startTimeOfMarriageWithCaryGrant
Indicates the date and time when an individual’s marriage to Cary Grant began.
-
B.
start time of marriage with Humphrey Bogart
Indicates the date and time when a person’s marriage to Humphrey Bogart began.
-
C.
endTimeOfMarriageWithCaryGrant
Indicates the date and time at which a person’s marriage to Cary Grant ended.
-
D.
startTimeOfMarriageWithClaudeRains
Indicates the point in time when a marriage involving Claude Rains began.
-
E.
end time of marriage with Humphrey Bogart
Indicates the date and time at which a person’s marriage to Humphrey Bogart ended.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61df628c8190ba3f557e2128dce5 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:03 a.m.