Triple
T36303743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superhuman Registration Act |
E893889
|
entity |
| Predicate | primaryWriterAssociated |
P87303
|
FINISHED |
| Object | Mark Millar |
E183623
|
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: Mark Millar | Statement: [Superhuman Registration Act, primaryWriterAssociated, Mark Millar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryWriterAssociated Context triple: [Superhuman Registration Act, primaryWriterAssociated, Mark Millar]
-
A.
primaryWriter
chosen
Indicates that one entity serves as the main or lead author responsible for creating or composing another entity.
-
B.
hasWritingAssociated
Indicates that there is a piece of writing (such as a text, document, or inscription) linked or connected to the given entity.
-
C.
publisherAssociatedWith
Indicates a relationship where a publisher is connected or linked to another entity, such as by publishing, distributing, or otherwise being involved with its content or materials.
-
D.
actualAuthorOfAssociatedText
Indicates that an entity is the real creator or writer of a given associated text, regardless of how the text is attributed elsewhere.
-
E.
activeAsWriterFrom
Indicates the time period from which an entity began being active in the role of a writer.
- F. None of above.
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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a397d842f1481908782c39664b5b68c |
completed | June 22, 2026, 6:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.