Triple
T9340562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rorschach |
E224753
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | The Question |
E779319
|
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 Question | Statement: [Rorschach, basedOn, The Question]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Question Context triple: [Rorschach, basedOn, The Question]
-
A.
The Question
chosen
The Question is a faceless, trench coat–wearing vigilante superhero from Charlton Comics later integrated into DC Comics, known for his hardboiled investigative style and philosophical themes.
-
B.
What is the Question?
"What is the Question?" is a production company associated with the television adaptation of Lemony Snicket’s *A Series of Unfortunate Events*.
-
C.
The Questions
The Questions is a section of the novel "Like Water for Chocolate" that presents reflective or discussion prompts related to the story’s themes and events.
-
D.
Four Questions
Four Questions are a traditional set of queries recited by the youngest participant at the Passover Seder, highlighting the distinctive rituals of the night to prompt discussion about the Exodus from Egypt.
-
E.
Qus
Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bae2e2481909effc2dc89a642c5 |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3f94ab88190a4c5a9129bd2ca14 |
completed | April 4, 2026, 10:12 a.m. |
Created at: March 30, 2026, 7:40 p.m.