Triple
T12951618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lumic |
E309904
|
entity |
| Predicate | scriptedAs |
P107670
|
FINISHED |
| Object | homage to classic mad scientist archetype |
—
|
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: homage to classic mad scientist archetype | Statement: [John Lumic, scriptedAs, homage to classic mad scientist archetype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptedAs Context triple: [John Lumic, scriptedAs, homage to classic mad scientist archetype]
-
A.
scripted
Indicates that one entity has written or created the script or dialogue for another entity or event.
-
B.
isScriptedInPart
Indicates that an entity is partially written, authored, or scripted in the specified language or scripting system, but not entirely.
-
C.
hasScriptedGenre
Indicates that an entity (such as a show or production) belongs to or is associated with a particular scripted genre.
-
D.
scriptOfOrigin
Indicates that one entity is the original writing system or script from which another script is derived or historically originates.
-
E.
scriptOfReferent
Indicates that a script (e.g., writing system or code) is associated with, or used to represent, a particular referent.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e5811f481908178fac6d2e0efcd |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 5:43 p.m.