Triple

T26917857
Position Surface form Disambiguated ID Type / Status
Subject Uncle Scrooge comics E677561 entity
Predicate firstAppearanceOfSeriesTitle P198099 FINISHED
Object Four Color #386
Four Color #386 is a 1952 issue of Dell Comics’ Four Color series notable for introducing the long-running "Uncle Scrooge" comic book title.
 E1749088 NE FINISHED

How this triple was built (3 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: Four Color #386 | Statement: [Uncle Scrooge comics, firstAppearanceOfSeriesTitle, Four Color #386]
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: Four Color #386
Triple: [Uncle Scrooge comics, firstAppearanceOfSeriesTitle, Four Color #386]
Generated description
Four Color #386 is a 1952 issue of Dell Comics’ Four Color series notable for introducing the long-running "Uncle Scrooge" comic book title.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstAppearanceOfSeriesTitle
Context triple: [Uncle Scrooge comics, firstAppearanceOfSeriesTitle, Four Color #386]
  • A. firstAppearanceEpisode
    Indicates the specific episode in which an entity (such as a character or item) is shown or mentioned for the first time.
  • B. firstAppearanceEpisodeNumber
    Indicates the episode number in which an entity (such as a character or item) first appears.
  • C. mainSeriesFirstAppearance
    Indicates the work or installment in which an entity first appears within the primary or main series continuity.
  • D. firstAppearanceTV
    Indicates the television show or episode in which an entity is depicted or mentioned for the first time.
  • E. firstAppearanceFranchise
    Indicates the franchise in which an entity made its first appearance.
  • F. None of above. chosen

Provenance (7 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_69eee9bdebc48190ba90a12a63e09c73 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69fecb4d02f881909a9ee97ce98000d5 completed May 9, 2026, 5:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a121eb6e04881909242b367f9bea7d0 completed May 23, 2026, 9:40 p.m.
NEDg Description generation batch_6a1222ca264881909aa8fde0c811d9e0 completed May 23, 2026, 9:57 p.m.
NED2 Entity disambiguation (via description) batch_6a122380eb708190a61dec3552516dd4 completed May 23, 2026, 10 p.m.
PD Predicate disambiguation batch_69fec9846c1c8190b317f0711f0755db completed May 9, 2026, 5:43 a.m.
PDg Predicate description generation batch_69fecb4be24481908bda6197d7fc32f4 completed May 9, 2026, 5:51 a.m.
Created at: April 27, 2026, 6:05 a.m.