Triple
T8693211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonny Lee Miller |
E206340
|
entity |
| Predicate | startTimeOfSpouseAngelinaJolie |
P14428
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [Jonny Lee Miller, startTimeOfSpouseAngelinaJolie, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseAngelinaJolie Context triple: [Jonny Lee Miller, startTimeOfSpouseAngelinaJolie, 1996]
-
A.
spouseStartTime
chosen
Indicates the point in time when two individuals began their spousal (marriage) relationship.
-
B.
startTimeOfMarriageWithCaryGrant
Indicates the date and time when an individual’s marriage to Cary Grant began.
-
C.
start time of marriage with Humphrey Bogart
Indicates the date and time when a person’s marriage to Humphrey Bogart began.
-
D.
startTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli began.
-
E.
startTimeAsFirstLadyOfCalifornia
Indicates the date and time when an individual first assumed the role of First Lady of California.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5826bbb48190a212fb1bb06e05e6 |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.