Triple
T23942579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Lee Cadwell |
E602822
|
entity |
| Predicate | marriageStartWithBruceLee |
P154442
|
FINISHED |
| Object | 1964-08-17 |
—
|
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: 1964-08-17 | Statement: [Linda Lee Cadwell, marriageStartWithBruceLee, 1964-08-17]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithBruceLee Context triple: [Linda Lee Cadwell, marriageStartWithBruceLee, 1964-08-17]
-
A.
marriageStartWithLeeKirk
Indicates the point in time when an entity begins a marital relationship with Lee Kirk.
-
B.
marriageStartWithBenAffleck
Indicates the point in time when a marriage involving Ben Affleck begins.
-
C.
marriageStartWithLionelRichie
Indicates the point in time when a marriage involving Lionel Richie begins.
-
D.
startTimeOfMarriageWith Yul Brynner
Indicates the specific time at which an individual’s marriage to Yul Brynner began.
-
E.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
- 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02ae4e4819083c0e160395b6fea |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:10 p.m.