Triple
T24853094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Naidish |
E621943
|
entity |
| Predicate | marriagePeriodWith |
P157849
|
FINISHED |
| Object | early career of Carol Channing |
—
|
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: early career of Carol Channing | Statement: [Theodore Naidish, marriagePeriodWith, early career of Carol Channing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriagePeriodWith Context triple: [Theodore Naidish, marriagePeriodWith, early career of Carol Channing]
-
A.
maritalPeriodWith
Indicates the time span during which two entities were married to each other.
-
B.
marriagePeriodRelative
Indicates the time span of a marriage expressed relative to some reference point or period rather than as absolute dates.
-
C.
marriageDuration
Indicates the length of time that a marriage relationship has existed between two spouses.
-
D.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
E.
marriageBefore
Indicates that one marriage event occurred earlier in time than another marriage event.
- 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_69e2fac297e481909d3aedc75f585e42 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 5:20 a.m.