Triple
T11421664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Fortensky |
E270635
|
entity |
| Predicate | weddingDateToElizabethTaylor |
P45710
|
FINISHED |
| Object | 1991-10-06 |
—
|
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: 1991-10-06 | Statement: [Larry Fortensky, weddingDateToElizabethTaylor, 1991-10-06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weddingDateToElizabethTaylor Context triple: [Larry Fortensky, weddingDateToElizabethTaylor, 1991-10-06]
-
A.
marriageStartWithElizabethTaylor
chosen
Indicates the point in time when a marriage involving Elizabeth Taylor began.
-
B.
marriageEndWithElizabethTaylor
Indicates that a marriage concluded with Elizabeth Taylor as one of the spouses.
-
C.
marriageCountWithElizabethTaylor
Indicates the number of separate marriages an individual has had with Elizabeth Taylor.
-
D.
startTimeOfMarriageWithClaudeRains
Indicates the point in time when a marriage involving Claude Rains began.
-
E.
startTimeOfMarriageWithCaryGrant
Indicates the date and time when an individual’s marriage to Cary Grant 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d801b357e88190ace56d36a945688f |
completed | April 9, 2026, 7:44 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.