Triple
T14724481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Kendrick De Niro |
E345901
|
entity |
| Predicate | hasHalfSibling |
P54212
|
FINISHED |
| Object | Elliot De Niro |
E344795
|
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: Elliot De Niro | Statement: [Aaron Kendrick De Niro, hasHalfSibling, Elliot De Niro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elliot De Niro Context triple: [Aaron Kendrick De Niro, hasHalfSibling, Elliot De Niro]
-
A.
Elliot De Niro
chosen
Elliot De Niro is one of the children of acclaimed American actor Robert De Niro.
-
B.
Julian De Niro
Julian De Niro is an American actor and one of the children of acclaimed actor Robert De Niro.
-
C.
De Niro
De Niro is a prominent Italian-American surname most famously associated with acclaimed actor Robert De Niro and his family.
-
D.
Robert De Niro
Robert De Niro is an acclaimed American actor and producer renowned for his intense, transformative performances in films such as "Taxi Driver," "Raging Bull," and "The Godfather Part II."
-
E.
Aaron Kendrick De Niro
Aaron Kendrick De Niro is one of actor Robert De Niro’s twin sons, born to model and actress Toukie Smith.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd1de868819084d71f75210d14f5 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 1:29 a.m.