Triple
T3068254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sue Storm (Fantastic Four, 2015 film) |
E62157
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Storm |
E119392
|
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: Storm | Statement: [Sue Storm (Fantastic Four, 2015 film), familyName, Storm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Context triple: [Sue Storm (Fantastic Four, 2015 film), familyName, Storm]
-
A.
Storm
chosen
Storm is a powerful Marvel Comics superhero and longtime member of the X-Men, known for her ability to control the weather.
-
B.
Cyclone
Cyclone is a statically typed, safe dialect of C designed to prevent common programming errors such as buffer overflows and memory leaks while retaining low-level control.
-
C.
Cyclone
Cyclone is a family of low-cost, low-power FPGA devices developed by Altera (now part of Intel) for a wide range of embedded and programmable logic applications.
-
D.
Hurricane
"Hurricane" is a protest song by Bob Dylan that narrates and condemns the wrongful imprisonment of boxer Rubin "Hurricane" Carter.
-
E.
Hurricane
The Hurricane is a British single-seat fighter aircraft that played a crucial role for the Royal Air Force during World War II, particularly in the Battle of Britain.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0ffcc208190962cc9edcbf43c31 |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef1972e08190942a068c0c563e52 |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.