Triple
T2700092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers |
E59209
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Ms. Marvel (Kamala Khan) |
E257369
|
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: Ms. Marvel (Kamala Khan) | Statement: [Avengers, member, Ms. Marvel (Kamala Khan)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ms. Marvel (Kamala Khan) Context triple: [Avengers, member, Ms. Marvel (Kamala Khan)]
-
A.
Daisy Johnson
Daisy Johnson is a powerful Inhuman superhero and skilled S.H.I.E.L.D. agent in Marvel Comics, best known by the codename Quake for her seismic vibration abilities and leadership roles.
-
B.
Ms. Marvel
chosen
Ms. Marvel is a critically acclaimed Marvel Comics series, best known for introducing teenage Pakistani-American superhero Kamala Khan and for its groundbreaking representation and storytelling.
-
C.
Miss Quill
Miss Quill is a sharp-tongued, battle-hardened alien freedom fighter and teacher from the Doctor Who spin-off series "Class."
-
D.
Kate Bishop
Kate Bishop is a young, skilled archer and protégé of Clint Barton in the Marvel universe who takes up the Hawkeye mantle.
-
E.
Scarlet Witch
Scarlet Witch is a powerful Marvel Comics superhero and Avenger, known for her reality-warping chaos magic and complex moral journey.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda34ba508190be8e2c9e4052adfc |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf70f9088190acd4c8bd05deea47 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.