Triple
T28755853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrissie Mullen |
E731668
|
entity |
| Predicate | marriageStartToBrianMay |
P178038
|
FINISHED |
| Object | early 1970s |
—
|
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: early 1970s | Statement: [Chrissie Mullen, marriageStartToBrianMay, early 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartToBrianMay Context triple: [Chrissie Mullen, marriageStartToBrianMay, early 1970s]
-
A.
startTimeOfMarriageWithOliviaNewtonJohn
Indicates the date and time when a marriage involving Olivia Newton-John began.
-
B.
startTimeOfMarriageToRodStewart
Indicates the date and time when an individual's marriage to Rod Stewart began.
-
C.
startTimeOfMarriageToGeorgeHamilton
Indicates the date and time when an individual’s marriage to George Hamilton began.
-
D.
endTimeOfMarriageWithOliviaNewtonJohn
Indicates the date and time at which a person’s marriage to Olivia Newton-John ended.
-
E.
marriageStartTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially 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_69f043ed68a881909e858a06bab7a247 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 28, 2026, 6:09 a.m.