Triple
T32648206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slipping Husband |
E834650
|
entity |
| Predicate | isFromEarlyCareerOf |
P136890
|
FINISHED |
| Object | The National |
—
|
NE NERFINISHED |
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: The National | Statement: [Slipping Husband, isFromEarlyCareerOf, The National]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFromEarlyCareerOf Context triple: [Slipping Husband, isFromEarlyCareerOf, The National]
-
A.
isEarlyCareerSingleOf
Indicates that one person is the early-career, single (unpartnered) counterpart or version of another person.
-
B.
earlyCareerActivity
Indicates activities, roles, or engagements undertaken by an entity during the early stage of its career or professional development.
-
C.
hasNotableEarlyCareerAppearanceOf
chosen
Indicates that an entity features or includes a significant appearance by another entity during the latter’s early career.
-
D.
earlyCareerAt
Indicates that an entity spent the early part of its career working at or being affiliated with another entity.
-
E.
precedesInCareer
Indicates that one entity’s role, position, or stage in a professional path occurs earlier in time than another entity’s corresponding role, position, or stage in that same career trajectory.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:08 a.m.