Triple
T20397122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beatrice Weeks |
E500234
|
entity |
| Predicate | marriageDurationWithBelaLugosi |
P139979
|
FINISHED |
| Object | brief |
—
|
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: brief | Statement: [Beatrice Weeks, marriageDurationWithBelaLugosi, brief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageDurationWithBelaLugosi Context triple: [Beatrice Weeks, marriageDurationWithBelaLugosi, brief]
-
A.
marriageDurationWithJackLemmon
Indicates the length of time an entity was married to Jack Lemmon.
-
B.
marriageToCaligulaDuration
Indicates the length of time an entity was married to Caligula.
-
C.
endTimeOfMarriageToErrolFlynn
Indicates the date and time when a person's marriage to Errol Flynn ended.
-
D.
marriageEndWithAlexanderKorda
Indicates that a marriage concluded or ended in connection with Alexander Korda (e.g., by divorce or separation involving him).
-
E.
endTime (marriage to Liza Minnelli)
Indicates the date and time when the marriage to Liza Minnelli legally or formally ended.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6798b6640819085d5b12dc35633fe |
completed | April 20, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:28 a.m.