Triple
T866069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DC Comics |
E18704
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Flash |
E86937
|
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: The Flash | Statement: [DC Comics, notableWork, The Flash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Flash Context triple: [DC Comics, notableWork, The Flash]
-
A.
The Flash (2014 TV series)
chosen
The Flash (2014 TV series) is a DC Comics–based superhero drama following crime scene investigator Barry Allen, who gains super-speed and protects Central City from metahuman threats.
-
B.
Batman v Superman: Dawn of Justice
Batman v Superman: Dawn of Justice is a 2016 superhero film in the DC Extended Universe that brings Batman and Superman into conflict while setting up a broader Justice League storyline.
-
C.
Man of Steel
Man of Steel is a 2013 superhero film directed by Zack Snyder that reboots the Superman franchise, starring Henry Cavill as the titular hero.
-
D.
Justice League
Justice League is a 2017 superhero film based on the DC Comics team, featuring Batman, Wonder Woman, and other heroes uniting to save the world.
-
E.
Bolt
Bolt is a global ride-hailing and mobility platform offering services like car rides, scooters, and food delivery, competing with companies such as Uber.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac7cb1888190a46c16b30256451b |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3c7999c81908b2f27610c263b7f |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:39 p.m.