Triple
T37576331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Jim |
E934829
|
entity |
| Predicate | playedByInUniverse |
P195331
|
FINISHED |
| Object | actor friend of Jim and Pam |
—
|
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: actor friend of Jim and Pam | Statement: [Asian Jim, playedByInUniverse, actor friend of Jim and Pam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedByInUniverse Context triple: [Asian Jim, playedByInUniverse, actor friend of Jim and Pam]
-
A.
playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
B.
arePlayedBy
Indicates that one or more performers (such as actors or musicians) carry out, interpret, or execute the referenced roles, characters, or pieces.
-
C.
oftenPlayedBy
Indicates that one entity frequently performs, portrays, or executes another entity, such as a role, character, or piece of music.
-
D.
playedByAtRelease
Indicates that a role or character in a work was performed by a specific actor at the time of the work’s original release.
-
E.
hasInUniverseRole
Indicates that an entity holds or performs a specific role or function within a particular fictional or defined universe.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
| PDg | Predicate description generation | batch_69fdbaa1313081908beea28a5597ae40 |
completed | May 8, 2026, 10:27 a.m. |
Created at: May 3, 2026, 4:17 p.m.