Triple
T35853067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightshade |
E1036419
|
entity |
| Predicate | roleInHapAndLeonard |
P203345
|
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: [Nightshade, roleInHapAndLeonard, production company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInHapAndLeonard Context triple: [Nightshade, roleInHapAndLeonard, production company]
-
A.
roleInHaroldAndKumarSeries
Indicates that an entity portrays a character in the Harold and Kumar film series.
-
B.
roleInKevinAndPerryGoLarge
Indicates that an entity has a role or appearance in the film "Kevin & Perry Go Large."
-
C.
playsInRole
Indicates that an entity performs or appears in a specific role within a production, event, or context.
-
D.
roleInLap
Indicates the specific function or position an entity holds during a particular lap within a sequence of laps.
-
E.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0164b052608190adc93240dad50a06 |
completed | May 11, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_6a01637fd3ac8190970eb09650d1e659 |
completed | May 11, 2026, 5:05 a.m. |
| PDg | Predicate description generation | batch_6a0164af262c8190876c9eb2421ad9a7 |
completed | May 11, 2026, 5:10 a.m. |
Created at: May 3, 2026, 4:06 p.m.