Triple
T29854879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Black |
E758158
|
entity |
| Predicate | postPlayingCareerEmployer |
P167671
|
FINISHED |
| Object | Chase Manhattan Bank |
—
|
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: Chase Manhattan Bank | Statement: [Joe Black, postPlayingCareerEmployer, Chase Manhattan Bank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postPlayingCareerEmployer Context triple: [Joe Black, postPlayingCareerEmployer, Chase Manhattan Bank]
-
A.
postPlayingCareer
Indicates a relationship where something pertains to or occurs during an entity’s period after its playing career has ended.
-
B.
employedAfter
Indicates that one entity became employed by another entity at a point in time later than a referenced employment event or period.
-
C.
clubCareerEnd
Indicates the point in time or event at which an entity’s involvement in a club-level career comes to an end.
-
D.
parentEmployer
Indicates that one organization is the direct or higher-level employer of another organization or entity.
-
E.
employerIn
Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6764ace8881909ccba69193322eef |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66bd123108190b451eb6e23842adb |
completed | May 2, 2026, 9:25 p.m. |
Created at: April 29, 2026, 5:45 p.m.