Triple
T22190299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron McGruder |
E548403
|
entity |
| Predicate | hasAdapted |
P114744
|
FINISHED |
| Object | The Boondocks (comic strip) into The Boondocks (TV series) |
—
|
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: The Boondocks (comic strip) into The Boondocks (TV series) | Statement: [Aaron McGruder, hasAdapted, The Boondocks (comic strip) into The Boondocks (TV series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdapted Context triple: [Aaron McGruder, hasAdapted, The Boondocks (comic strip) into The Boondocks (TV series)]
-
A.
hasBeenAdaptedBy
chosen
Indicates that an original work has been transformed or re-created into a new form or medium by a particular adapter.
-
B.
hasAdaptedMedium
Indicates that an original work has been transformed or adapted into a different medium or format (e.g., book to film, comic to TV series).
-
C.
hasLaterAdaptation
Indicates that one work has been adapted into another work that was created or released at a later time.
-
D.
hasHumanAdaptation
Indicates that something has been modified, designed, or adjusted specifically to suit human use, abilities, or needs.
-
E.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aac07d88190848c940863c0a0c7 |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.