Triple
T28211794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Becker |
E711188
|
entity |
| Predicate | worksAsContactFor |
P170658
|
FINISHED |
| Object | Jim Rockford |
—
|
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: Jim Rockford | Statement: [Dennis Becker, worksAsContactFor, Jim Rockford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksAsContactFor Context triple: [Dennis Becker, worksAsContactFor, Jim Rockford]
-
A.
contactWith
Indicates that two entities are in direct or indirect physical or communicative interaction or touch with each other.
-
B.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
C.
worksFor
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
-
D.
supportedPeople
Indicates that one entity has provided assistance, backing, or help to another person or group of people.
-
E.
namedForWork
Indicates that one entity is named in honor of, or derived from the title of, a particular work (such as a book, film, artwork, or other creative production).
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f693ffa7908190aa4c451b16df9be6 |
completed | May 3, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 27, 2026, 10:39 p.m.