Triple
T2995595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extract |
E81056
|
entity |
| Predicate | screenDebutType |
P26909
|
FINISHED |
| Object | first live-action film by Mike Judge since Office Space |
—
|
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: first live-action film by Mike Judge since Office Space | Statement: [Extract, screenDebutType, first live-action film by Mike Judge since Office Space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenDebutType Context triple: [Extract, screenDebutType, first live-action film by Mike Judge since Office Space]
-
A.
screenDebut
chosen
Indicates the event or relationship in which an entity appears on screen for the first time in a film, television, or other visual media production.
-
B.
screeningType
Indicates the specific method or category of screening applied in a screening process or evaluation.
-
C.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
D.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
E.
viewType
Indicates the specific manner or format in which something is displayed, presented, or visually arranged.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f2e5888190b3346012e2578dab |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.