Triple
T10281710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megyn Kelly |
E241114
|
entity |
| Predicate | startedWorkingAt |
P4697
|
FINISHED |
| Object | Fox News Channel in 2004 |
—
|
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: Fox News Channel in 2004 | Statement: [Megyn Kelly, startedWorkingAt, Fox News Channel in 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startedWorkingAt Context triple: [Megyn Kelly, startedWorkingAt, Fox News Channel in 2004]
-
A.
startedCareerWith
Indicates that an entity began its professional career associated with, employed by, or active for another specified entity.
-
B.
occupationBegan
chosen
Indicates the point in time when an entity started holding a particular occupation or job.
-
C.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
D.
hasWorkedFor
Indicates that an entity has been employed by or has provided work or services to another entity.
-
E.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:39 a.m.