Triple
T9115088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secret Wars (2015) |
E218701
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Sue Storm |
E322034
|
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: Sue Storm | Statement: [Secret Wars (2015), featuresCharacter, Sue Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sue Storm Context triple: [Secret Wars (2015), featuresCharacter, Sue Storm]
-
A.
Sue Storm
chosen
Sue Storm, also known as the Invisible Woman, is a core member of Marvel’s Fantastic Four who can become invisible and generate powerful force fields.
-
B.
Martha Coleman
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
-
C.
The Invisible Woman
The Invisible Woman is a 2013 British biographical drama film that explores the secret love affair between author Charles Dickens and his young mistress Nelly Ternan.
-
D.
Monica Rambeau
Monica Rambeau is a Marvel Comics superhero and S.W.O.R.D. agent who gains energy-based powers and becomes a key figure in the Marvel Cinematic Universe.
-
E.
Jo Grant
Jo Grant is a spirited and resourceful companion of the Third Doctor in the classic British science fiction series Doctor Who.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a1340881909dc791b825e87ef2 |
completed | April 1, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0306837c0819099cd77925df0848d |
completed | April 3, 2026, 9:26 p.m. |
Created at: March 30, 2026, 7:16 p.m.