Triple
T4912834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lupita Nyong'o |
E110274
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Us |
E306643
|
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: Us | Statement: [Lupita Nyong'o, notableWork, Us]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Us Context triple: [Lupita Nyong'o, notableWork, Us]
-
A.
Us
chosen
Us is a 2019 horror film written and directed by Jordan Peele that explores themes of identity and duality through a family's terrifying encounter with their doppelgängers.
-
B.
Us
"Us" is a soulful pop ballad by British singer-songwriter James Bay that explores themes of hope, connection, and emotional vulnerability.
-
C.
US
US is the IATA airline designator code assigned to the former American airline US Airways.
-
D.
US
The US, or United States, is a large federal republic in North America composed of 50 states and known as a major global economic and political power.
-
E.
US
The US, or United States, is a federal republic in North America composed of 50 states and known as one of the world’s largest economic and military powers.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9dc41481908c0c398852e6819c |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81bc9fe08190a76265d453e98f49 |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:29 p.m.