Triple
T11878294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooks Atkinson |
E282586
|
entity |
| Predicate | startTimeOfEmploymentAtTheNewYorkTimes |
P34618
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [Brooks Atkinson, startTimeOfEmploymentAtTheNewYorkTimes, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfEmploymentAtTheNewYorkTimes Context triple: [Brooks Atkinson, startTimeOfEmploymentAtTheNewYorkTimes, 1920s]
-
A.
becameOpEdColumnistAtTheNewYorkTimes
Indicates that a person assumed the role of an op-ed columnist at The New York Times.
-
B.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
C.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
D.
startTimeOfNotableRole
chosen
Indicates the point in time when an entity began a notable role, position, or function.
-
E.
earliestOccupationDate
Indicates the earliest known date on which an entity began a particular occupation or role.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.