Triple
T23869341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Round Films |
E592676
|
entity |
| Predicate | roleInMaggiesPlan |
P154257
|
FINISHED |
| Object | production company |
—
|
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: production company | Statement: [Round Films, roleInMaggiesPlan, production company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMaggiesPlan Context triple: [Round Films, roleInMaggiesPlan, production company]
-
A.
roleInMisfits
Indicates that an entity has a specific role or function within a group, project, or collection referred to as "Misfits."
-
B.
roleOfMitchMitchell
Indicates that the specified role or function is held or performed by Mitch Mitchell.
-
C.
roleInAmy
Indicates that an entity has a specific role or function within the context of Amy (e.g., in Amy’s life, work, or activities).
-
D.
roleInMotherLoveBone
Indicates that an entity holds a specific role or position within the band Mother Love Bone.
-
E.
MarySpeaks
Indicates that Mary performs the action of speaking.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae643448190863c44df5f026482 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:14 p.m.