Triple
T21452261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret Ann Thomas |
E529239
|
entity |
| Predicate | startTimeOfMarriageWithIkeTurner |
P144406
|
FINISHED |
| Object | before Ike Turner's rise to fame |
—
|
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: before Ike Turner's rise to fame | Statement: [Margaret Ann Thomas, startTimeOfMarriageWithIkeTurner, before Ike Turner's rise to fame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWithIkeTurner Context triple: [Margaret Ann Thomas, startTimeOfMarriageWithIkeTurner, before Ike Turner's rise to fame]
-
A.
startTimeOfMarriageWithWhitneyHouston
Indicates the date and time at which an individual's marriage to Whitney Houston began.
-
B.
startTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli began.
-
C.
marriageStartWithBessieSmith
Indicates the point in time when a marriage involving Bessie Smith began.
-
D.
startTimeOfMarriageWithOliviaNewtonJohn
Indicates the date and time when a marriage involving Olivia Newton-John began.
-
E.
startTimeOfMarriageToTonyBennett
Indicates the date and time when an individual’s marriage to Tony Bennett began.
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d426d88190ae87ae9fac9c30a0 |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e63d2aca38819094d312078feaa436 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 16, 2026, 6:07 p.m.