Triple
T23936439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynthia Lillian Powell |
E602650
|
entity |
| Predicate | marriageStartWithJohnLennon |
P154421
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [Cynthia Lillian Powell, marriageStartWithJohnLennon, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithJohnLennon Context triple: [Cynthia Lillian Powell, marriageStartWithJohnLennon, 1962]
-
A.
marriageStartWithLionelRichie
Indicates the point in time when a marriage involving Lionel Richie begins.
-
B.
marriageStartWithJohnBarrymore
Indicates the point in time when a marriage involving John Barrymore began.
-
C.
marriageStartWithElizabethTaylor
Indicates the point in time when a marriage involving Elizabeth Taylor began.
-
D.
marriageStartWithBessieSmith
Indicates the point in time when a marriage involving Bessie Smith 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cfa063088190bdbe2dacf854f8b5 |
completed | April 29, 2026, 9:30 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, 9:04 p.m.