Triple
T12243458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adua Veroni |
E291790
|
entity |
| Predicate | marriageDurationWithLucianoPavarotti |
P57236
|
FINISHED |
| Object | approximately 41 years |
—
|
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: approximately 41 years | Statement: [Adua Veroni, marriageDurationWithLucianoPavarotti, approximately 41 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageDurationWithLucianoPavarotti Context triple: [Adua Veroni, marriageDurationWithLucianoPavarotti, approximately 41 years]
-
A.
marriageDurationWithEllaFitzgerald
Indicates the length of time an entity was married to Ella Fitzgerald.
-
B.
endTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli legally or formally ended.
-
C.
marriageDurationWithJackLemmon
Indicates the length of time an entity was married to Jack Lemmon.
-
D.
marriageDuration
chosen
Indicates the length of time that a marriage relationship has existed between two spouses.
-
E.
startTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli began.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.