Triple
T35235215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tariq St. Patrick |
E1017356
|
entity |
| Predicate | spinoffCenter |
P182642
|
FINISHED |
| Object | Power Book II: Ghost |
E326352
|
NE 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: Power Book II: Ghost | Statement: [Tariq St. Patrick, spinoffCenter, Power Book II: Ghost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spinoffCenter Context triple: [Tariq St. Patrick, spinoffCenter, Power Book II: Ghost]
-
A.
spinOff
Indicates that a new entity is created by separating or divesting part of an existing entity, forming an independent offshoot derived from the original.
-
B.
spinoffMemberOf
Indicates that one entity originated as a spinoff from, and is organizationally or historically derived from, another entity.
-
C.
spinoffSetting
Indicates that one work is set in a narrative world or environment derived from, but distinct from, the setting of another work.
-
D.
spinoffCreatorOf
Indicates that one entity created or developed a spinoff derived from another entity.
-
E.
spinOffMedia
Indicates that one work or franchise has generated a derivative media product that expands on its characters, setting, or storyline.
- F. None of above. chosen
Provenance (5 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7904a770481908ef3f788e51e8dba |
completed | May 3, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38a4ccfd9c81908ce17a8553135c56 |
completed | June 22, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78f629d508190b755848162c4e101 |
completed | May 3, 2026, 6:09 p.m. |
Created at: May 3, 2026, 4:02 p.m.