Triple
T14290051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Meeker |
E354284
|
entity |
| Predicate | marriagePeriodRelative |
P113644
|
FINISHED |
| Object | married Mary Tyler Moore when she was a teenager |
—
|
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: married Mary Tyler Moore when she was a teenager | Statement: [Dick Meeker, marriagePeriodRelative, married Mary Tyler Moore when she was a teenager]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriagePeriodRelative Context triple: [Dick Meeker, marriagePeriodRelative, married Mary Tyler Moore when she was a teenager]
-
A.
maritalPeriodWith
Indicates the time span during which two entities were married to each other.
-
B.
marriageDuration
Indicates the length of time that a marriage relationship has existed between two spouses.
-
C.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
D.
marriageBefore
Indicates that one marriage event occurred earlier in time than another marriage event.
-
E.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6981e9148190baf2ed56a7b7340e |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:11 a.m.