Triple
T37890992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Blakeley |
E945134
|
entity |
| Predicate | marriageOrderWithFrankSinatra |
P196166
|
FINISHED |
| Object | fourth wife |
—
|
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: fourth wife | Statement: [Barbara Blakeley, marriageOrderWithFrankSinatra, fourth wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageOrderWithFrankSinatra Context triple: [Barbara Blakeley, marriageOrderWithFrankSinatra, fourth wife]
-
A.
marriageOrderWithTonyBennett
Indicates the ordinal position in which an entity married Tony Bennett relative to his other spouses.
-
B.
marriageOrderWithBillyBobThornton
Indicates the chronological position in which an entity was married to Billy Bob Thornton relative to his other spouses.
-
C.
startTimeOfMarriageWithFrankSinatra
Indicates the time at which a marriage involving Frank Sinatra began.
-
D.
endTimeOfMarriageWithFrankSinatra
Indicates the date and time at which a person's marriage to Frank Sinatra ended.
-
E.
maritalOrderWithDeanMartin
Indicates that there exists a marital relationship involving Dean Martin, specifying the order or sequence of that marriage among multiple marriages.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
| PDg | Predicate description generation | batch_69fe0d14778c8190986fa4f37f992a2f |
completed | May 8, 2026, 4:19 p.m. |
Created at: May 3, 2026, 4:19 p.m.