Triple
T11122964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thunderbolts* (upcoming film) |
E263062
|
entity |
| Predicate | hasTeamTheme |
P57064
|
FINISHED |
| Object | government‑backed superhuman team |
—
|
LITERAL 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: government‑backed superhuman team | Statement: [Thunderbolts* (upcoming film), hasTeamTheme, government‑backed superhuman team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeamTheme Context triple: [Thunderbolts* (upcoming film), hasTeamTheme, government‑backed superhuman team]
-
A.
teamTheme
chosen
Indicates that multiple entities share a common thematic concept or style as a team.
-
B.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
C.
hasSeasonTheme
Indicates that something is associated with or characterized by a particular seasonal theme.
-
D.
hasFestivalTheme
Indicates that something is associated with, characterized by, or designed around a particular festival-related theme.
-
E.
jerseyColorThemeOfHost
Indicates that a specified jersey color theme is used by the host team or host entity in an event or competition.
- F. None of above.
Provenance (3 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| PD | Predicate disambiguation | batch_69d7441efe948190ae4ab020121e169d |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:28 p.m.