Triple
T15915120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Elliott |
E385948
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Elliott |
E25238
|
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: Elliott | Statement: [Chris Elliott, familyName, Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elliott Context triple: [Chris Elliott, familyName, Elliott]
-
A.
Elliott
Elliott is the young boy who befriends the alien E.T. in the classic 1982 science fiction film "E.T. the Extra-Terrestrial."
-
B.
Elliott
Elliott is a rural locality within the jurisdiction of the City of Burnie in Tasmania, Australia.
-
C.
Elliott
chosen
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
D.
Elliot
Elliot is the friendly, invisible green dragon who befriends and protects a young orphan boy in Disney’s family film "Pete’s Dragon."
-
E.
Elliot
Elliot is the socially anxious, morphine-addicted cybersecurity engineer and hacker protagonist of the television series "Mr. Robot."
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1566216d481908dd6e3acaa26fd45 |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05b15e8819083b67afa52f46283 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.