Triple
T10207157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliott Lewis |
E242226
|
entity |
| Predicate | givenName |
P17
|
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: [Elliott Lewis, givenName, Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elliott Context triple: [Elliott Lewis, givenName, 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
chosen
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
C.
Elliot
Elliot is the socially anxious, morphine-addicted cybersecurity engineer and hacker protagonist of the television series "Mr. Robot."
-
D.
Elliot
Elliot is a surname of English origin borne by various notable individuals, including the family of Charles Elliot.
-
E.
Elliot
Elliot is the friendly, invisible green dragon who befriends and protects a young orphan boy in Disney’s family film "Pete’s Dragon."
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f774008190ae38823651e45264 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7e63c588190b239f8bdb13a3f3c |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 10:55 a.m.