Triple
T26702543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim May |
E673198
|
entity |
| Predicate | roleInTheA-Team (2010 film) |
P1668
|
FINISHED |
| Object | film editor |
—
|
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: film editor | Statement: [Jim May, roleInTheA-Team (2010 film), film editor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTheA-Team (2010 film) Context triple: [Jim May, roleInTheA-Team (2010 film), film editor]
-
A.
has part in role
Indicates that an entity participates as a component or constituent specifically in a defined role within a larger whole or process.
-
B.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
C.
playedEarlyRoleIn
Indicates that one entity contributed significantly to the initial or formative stages of another entity’s development, success, or emergence.
-
D.
playsInRole
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
E.
playedRoleIn
chosen
Indicates that an entity performed or assumed a specific role or character within a particular event, production, or context.
- 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: April 27, 2026, 3:32 a.m.