Triple
T14273600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Hansen |
E353856
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Extremis |
E349889
|
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: Extremis | Statement: [Maya Hansen, notableWork, Extremis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Extremis Context triple: [Maya Hansen, notableWork, Extremis]
-
A.
Extremis
chosen
Extremis is a pivotal Iron Man comic book storyline in which Tony Stark is transformed by a radical techno-organic virus, redefining his armor and abilities.
-
B.
Havoc
Havoc is a 2005 crime drama film about affluent suburban teenagers who become entangled in Los Angeles gang culture.
-
C.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
-
D.
Havoc
Havoc is a downloadable content pack for Call of Duty: Advanced Warfare that adds new multiplayer maps, weapons, and the Exo Zombies mode.
-
E.
Afterburn
Afterburn is a high-speed inverted roller coaster at the Carowinds amusement park, known for its intense inversions and smooth, forceful ride experience.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6582f5308190969f4cfd724d9139 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd326d35808190bbf3f6bbc50554f4 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:10 a.m.