Triple
T5048217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elliott Bulloch Roosevelt Sr. |
E113719
|
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 Bulloch Roosevelt Sr., givenName, Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elliott Context triple: [Elliott Bulloch Roosevelt Sr., 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.
Elliot
Elliot is the socially anxious, morphine-addicted cybersecurity engineer and hacker protagonist of the television series "Mr. Robot."
-
C.
Elliot
Elliot is the friendly, invisible green dragon who befriends and protects a young orphan boy in Disney’s family film "Pete’s Dragon."
-
D.
Ellis
Ellis is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, and academia.
-
E.
Elliott Lewis
Elliott Lewis was an American actor, director, and producer best known for his prolific work in classic radio and television comedy and drama.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7401419081909ba62b9c27f770c4 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c9143a081909132c66eb9fc91db |
completed | March 21, 2026, 1:26 p.m. |
Created at: March 20, 2026, 1:37 p.m.