Triple
T23215449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbara Marshall |
E580724
|
entity |
| Predicate | marriageDurationWithGarryMarshall |
P57236
|
FINISHED |
| Object | several decades |
—
|
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: several decades | Statement: [Barbara Marshall, marriageDurationWithGarryMarshall, several decades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageDurationWithGarryMarshall Context triple: [Barbara Marshall, marriageDurationWithGarryMarshall, several decades]
-
A.
marriageDurationWithRockHudson
Indicates the length of time an entity was married to Rock Hudson.
-
B.
endTimeOfMarriageWithCaryGrant
Indicates the date and time at which a person’s marriage to Cary Grant ended.
-
C.
endTimeOfMarriageToGeenaDavis
Indicates the date and time at which the subject’s marriage to Geena Davis ended.
-
D.
marriageDuration
chosen
Indicates the length of time that a marriage relationship has existed between two spouses.
-
E.
marriageStartTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially began.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f191646c548190a3f7150f0c253dc1 |
completed | April 29, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:08 p.m.