Triple
T4506663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice Society of America |
E101346
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Alan Scott |
E447840
|
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: Alan Scott | Statement: [Justice Society of America, notableMember, Alan Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Scott Context triple: [Justice Society of America, notableMember, Alan Scott]
-
A.
Alan Scott
chosen
Alan Scott is the original Golden Age Green Lantern, a DC Comics superhero who wields a mystical power ring and lantern.
-
B.
Jay Garrick
Jay Garrick is the original Flash, a Golden Age DC Comics superhero known for his super-speed and founding role in early superhero teams.
-
C.
Daniel Grayson
Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
-
D.
Nick Metropolis
Nick Metropolis was a pioneering physicist and computer scientist known for his work on early computers and the development of the Metropolis algorithm in statistical physics and Monte Carlo methods.
-
E.
Hal Foster
Hal Foster was a pioneering Canadian-American comic strip artist best known for creating and illustrating the influential adventure strip "Prince Valiant."
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570e7bb8819097f7a575384a10a8 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f760658819085ca8c631894b486 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.