Triple
T29345604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Child |
E744162
|
entity |
| Predicate | spouseOfBirthName |
P45668
|
FINISHED |
| Object | Jacob Rodney Cohen |
—
|
NE NERFINISHED |
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: Jacob Rodney Cohen | Statement: [Joan Child, spouseOfBirthName, Jacob Rodney Cohen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfBirthName Context triple: [Joan Child, spouseOfBirthName, Jacob Rodney Cohen]
-
A.
spouseBirthName
chosen
Indicates the birth name of a person's spouse, prior to any name changes such as through marriage.
-
B.
spouse name
Indicates that one entity is the legally recognized husband or wife of the other, specifying the partner’s name in a marital relationship.
-
C.
spouseGivenName
Indicates that the value is the given (first) name of a person's spouse in the relationship.
-
D.
spousePersonalName
Indicates the personal name of a person’s spouse in the relationship.
-
E.
eraNameOfSpouse
Indicates that the value is the name of the historical era associated with the spouse of the subject.
- F. None of above.
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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 28, 2026, 2:01 p.m.