Triple

T32117663
Position Surface form Disambiguated ID Type / Status
Subject Cory Walker E820280 entity
Predicate coCreatorOf P806 FINISHED
Object Invincible
Invincible is a superhero comic book series, later adapted into an animated television show, known for its graphic violence, emotional storytelling, and subversion of traditional superhero tropes.
E630964 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: Invincible | Statement: [Cory Walker, coCreatorOf, Invincible]
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: Invincible
Triple: [Cory Walker, coCreatorOf, Invincible]
Generated description
Invincible is a superhero comic book series, later adapted into an animated television show, known for its graphic violence, emotional storytelling, and subversion of traditional superhero tropes.

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_69f3490209c881908ec0241476715f15 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b909e534819085361d443b5c622d completed May 3, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0bc2956c819085fdc70511242b46 completed June 14, 2026, 8:14 p.m.
NEDg Description generation batch_6a2f14974ae8819080b285fd6acf2273 completed June 14, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_6a2f152f7a708190bae8fa2549afe5d7 completed June 14, 2026, 8:55 p.m.
Created at: May 1, 2026, 12:28 a.m.