Triple

T29075842
Position Surface form Disambiguated ID Type / Status
Subject Wonder Woman comics E735936 entity
Predicate hasSpinOff P7226 FINISHED
Object Wonder Woman: Earth One
Wonder Woman: Earth One is a graphic novel reimagining of Wonder Woman’s origin story set in DC’s alternate Earth One continuity, written by Grant Morrison with art by Yanick Paquette.
E1848653 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: Wonder Woman: Earth One | Statement: [Wonder Woman comics, hasSpinOff, Wonder Woman: Earth One]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wonder Woman: Earth One
Triple: [Wonder Woman comics, hasSpinOff, Wonder Woman: Earth One]
Generated description
Wonder Woman: Earth One is a graphic novel reimagining of Wonder Woman’s origin story set in DC’s alternate Earth One continuity, written by Grant Morrison with art by Yanick Paquette.

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_69f077e9b0a48190bb79548279cb7f64 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f660fdf5f08190b36e506672b64683 completed May 2, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a251f8a3f70819088d6985cc4bd4ca9 completed June 7, 2026, 7:36 a.m.
NEDg Description generation batch_6a25239d75fc819097fecb8edcd63e80 completed June 7, 2026, 7:54 a.m.
NED2 Entity disambiguation (via description) batch_6a25283e68608190a5f0b319c8028258 completed June 7, 2026, 8:13 a.m.
Created at: April 28, 2026, 10:22 a.m.