Triple
T24406042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas-John |
E615313
|
entity |
| Predicate | marriageDurationWith Jessa Johansson |
P57236
|
FINISHED |
| Object | short-lived |
—
|
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: short-lived | Statement: [Thomas-John, marriageDurationWith Jessa Johansson, short-lived]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageDurationWith Jessa Johansson Context triple: [Thomas-John, marriageDurationWith Jessa Johansson, short-lived]
-
A.
endTimeOfMarriageWith Robert Redford
Indicates the specific date and time at which a marriage to Robert Redford legally or formally ended.
-
B.
marriageDurationWithRockHudson
Indicates the length of time an entity was married to Rock Hudson.
-
C.
marriageDuration
chosen
Indicates the length of time that a marriage relationship has existed between two spouses.
-
D.
endTimeOfMarriageWithOliviaNewtonJohn
Indicates the date and time at which a person’s marriage to Olivia Newton-John ended.
-
E.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294dfd8d88190b831b6a8f4157980 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.