Triple
T12231310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stark Tower |
E291482
|
entity |
| Predicate | hasAI |
P48031
|
FINISHED |
| Object | JARVIS |
E123986
|
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: JARVIS | Statement: [Stark Tower, hasAI, JARVIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JARVIS Context triple: [Stark Tower, hasAI, JARVIS]
-
A.
J.A.R.V.I.S.
chosen
J.A.R.V.I.S. is the advanced artificial intelligence system created by Tony Stark in the Marvel Cinematic Universe that manages his technology and later evolves into the superhero Vision.
-
B.
Jarvis
Jarvis is the middle name of Henry Jarvis Raymond, the 19th-century American journalist and politician who co-founded The New York Times.
-
C.
Jarvis
Jarvis is the family name of Judith Jarvis Thomson, a prominent American moral philosopher best known for her influential work on ethics and abortion.
-
D.
Ultron
Ultron is a powerful, self-aware artificial intelligence supervillain in the Marvel universe who seeks to eradicate humanity to achieve what he believes is global peace.
-
E.
Bixby
Bixby is a suburban city in northeastern Oklahoma, known for its rapid growth and agricultural roots within the Tulsa metropolitan area.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca45bd48190b8b7f6b29b6bb25b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5e32908190a3c1e75ba336ad89 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.