Triple

T35852118

Position	Surface form	Disambiguated ID	Type / Status
Subject	Lego Joker	`E1036388`	entity
Predicate	firstAppearedInLegoTheme	`P83876`	FINISHED
Object	Lego Batman theme The Lego Batman theme is a Lego product line centered on DC Comics' Batman universe, featuring buildable sets, vehicles, and minifigures based on characters and locations from the franchise.	`E319394`	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: Lego Batman theme | Statement: [Lego Joker, firstAppearedInLegoTheme, Lego Batman theme]

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: Lego Batman theme
Triple: [Lego Joker, firstAppearedInLegoTheme, Lego Batman theme]

Generated description

The Lego Batman theme is a Lego product line centered on DC Comics' Batman universe, featuring buildable sets, vehicles, and minifigures based on characters and locations from the franchise.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: firstAppearedInLegoTheme
Context triple: [Lego Joker, firstAppearedInLegoTheme, Lego Batman theme]

A. firstToyLineAppearance
Indicates the toy line in which an entity (such as a character or item) was first released or featured.
B. introducedInTheme chosen
Indicates that something (such as a concept, character, or element) is first presented or brought into use within a particular theme.
C. firstUsedAsThemeInYear
Indicates the year in which something was first used as a theme.
D. firstAiredAsThemeOn
Indicates that a work (such as a song or composition) was first broadcast or publicly introduced as the theme for another work (such as a show, series, or program).
E. firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
F. None of above.

Provenance (6 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_69f76e1b4aa481909630373171eb5ec6`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_6a037ce70f54819082946dad8d380825`	completed	May 12, 2026, 7:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38ae1b5e50819080d7fae5fbe29294`	completed	June 22, 2026, 3:38 a.m.
NEDg	Description generation	`batch_6a38aea905748190981128825afb9fbe`	completed	June 22, 2026, 3:40 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38af0c461c8190a7332d1709b5553c`	completed	June 22, 2026, 3:42 a.m.
PD	Predicate disambiguation	`batch_6a037a069e6c8190857b611fffb7b867`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:06 p.m.