Triple
T8645407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tami-Lynn |
E204760
|
entity |
| Predicate | weddingEvent |
P61722
|
FINISHED |
| Object | marries Ted at start of Ted 2 |
—
|
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: marries Ted at start of Ted 2 | Statement: [Tami-Lynn, weddingEvent, marries Ted at start of Ted 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weddingEvent Context triple: [Tami-Lynn, weddingEvent, marries Ted at start of Ted 2]
-
A.
premiereOccasion
Indicates the event or context in which something (such as a work, show, or product) is first publicly presented or launched.
-
B.
nuptialFlightTrigger
Indicates the condition or event that initiates or triggers a nuptial flight between mating individuals.
-
C.
weddingCity
Indicates the city where a wedding takes place or is held.
-
D.
specialOccasion
chosen
Indicates that an event or situation is associated with a notable or exceptional occasion, such as a celebration, milestone, or culturally significant date.
-
E.
hasPublicCeremony
Indicates that a public ceremony is held or conducted in relation to the subject entity.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc479999c881908c0c4e01c07d02d4 |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.