Triple
T25194442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Kirkman |
E630963
|
entity |
| Predicate | adaptedWorkToTelevision |
P93883
|
FINISHED |
| Object | Invincible (animated series) |
—
|
NE NERFINISHED |
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: Invincible (animated series) | Statement: [Robert Kirkman, adaptedWorkToTelevision, Invincible (animated series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptedWorkToTelevision Context triple: [Robert Kirkman, adaptedWorkToTelevision, Invincible (animated series)]
-
A.
coCreatedTelevisionAdaptationOf
Indicates that two or more entities jointly participated in creating a television adaptation of a work.
-
B.
isTelevisionAdaptationOf
chosen
Indicates that a television show is an adaptation derived from the story, characters, or content of another original work.
-
C.
laterAdaptedIn
Indicates that something was subsequently adapted, modified, or reworked in a later context, version, or medium.
-
D.
laterAdaptedFor
Indicates that something was subsequently modified or repurposed to serve a new use, context, or medium.
-
E.
adaptedWorkOf
Indicates that one work is derived from, based on, or reinterprets the content of another pre-existing work.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46e1206f88190bfacdc420027c354 |
completed | May 1, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 12:46 p.m.