Triple
T5992433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliott Erwitt |
E133382
|
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 Erwitt, givenName, Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elliott Context triple: [Elliott Erwitt, givenName, Elliott]
-
A.
Elliott
chosen
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
B.
Elliott
Elliott is the young boy who befriends the alien E.T. in the classic 1982 science fiction film "E.T. the Extra-Terrestrial."
-
C.
Elliot
Elliot is the socially anxious, morphine-addicted cybersecurity engineer and hacker protagonist of the television series "Mr. Robot."
-
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.
Ellis
Ellis is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, and academia.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e9189908190abc9c742b38dfabc |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108685f788190aa3f84e56837b195 |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.