Triple
T35563036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. W. (That Thing You Do!) |
E1027686
|
entity |
| Predicate | workAppearedInWriter |
P183408
|
FINISHED |
| Object | Tom Hanks |
—
|
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: Tom Hanks | Statement: [C. W. (That Thing You Do!), workAppearedInWriter, Tom Hanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAppearedInWriter Context triple: [C. W. (That Thing You Do!), workAppearedInWriter, Tom Hanks]
-
A.
workWriterOfWorkAppearedIn
Indicates that a work is written by an author whose work appeared in a particular publication or context.
-
B.
workAppearedInAuthor
Indicates that a particular work by an author appeared in or was included within another creator’s authored work (e.g., as a contribution, feature, or inclusion).
-
C.
coWriterOfWorkItAppearsIn
Indicates that one entity is a co-writer of the work in which the other entity appears.
-
D.
appearsInWorkByAuthorFrom
Indicates that an entity appears in a work that was created by an author originating from a specified place or country.
-
E.
workAuthorIs
Indicates that a specific person or entity is the author or creator of a particular work.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79f7340e4819092a1a47f7028e63f |
completed | May 3, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79ec14ce08190b22cee0b40d33743 |
completed | May 3, 2026, 7:15 p.m. |
Created at: May 3, 2026, 4:04 p.m.