Triple
T28755854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrissie Mullen |
E731668
|
entity |
| Predicate | marriageEndToBrianMay |
P178299
|
FINISHED |
| Object | late 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: late 1970s | Statement: [Chrissie Mullen, marriageEndToBrianMay, late 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndToBrianMay Context triple: [Chrissie Mullen, marriageEndToBrianMay, late 1970s]
-
A.
marriageStartToBrianMay
Indicates the point in time when a marriage to Brian May begins.
-
B.
endTimeOfMarriageWithOliviaNewtonJohn
Indicates the date and time at which a person’s marriage to Olivia Newton-John ended.
-
C.
marriageEndWithGavinRossdale
Indicates that a marriage relationship concludes or ends with Gavin Rossdale as one of the spouses.
-
D.
marriageEndWithLionelRichie
Indicates that a marriage concluded or ended in connection with Lionel Richie (e.g., by divorcing or separating from Lionel Richie).
-
E.
marriageEndWithJohnLennon
Indicates that a marriage relationship involving the subject ended with John Lennon as the spouse.
- 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_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 28, 2026, 6:09 a.m.