Triple
T9968455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yahya Abdul-Mateen II |
E195741
|
entity |
| Predicate | knownFor |
P22
|
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: [Yahya Abdul-Mateen II, knownFor, Us]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Us Context triple: [Yahya Abdul-Mateen II, knownFor, Us]
-
A.
Us
Us is Peter Gabriel's 1992 studio album that explores themes of personal relationships and emotional introspection through richly layered, world music–influenced rock.
-
B.
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.
-
C.
Us
"Us" is a soulful pop ballad by British singer-songwriter James Bay that explores themes of hope, connection, and emotional vulnerability.
-
D.
Us
"Us" is a 2014 comic novel by British author David Nicholls that follows a middle-aged man’s attempt to save his crumbling marriage during a family trip across Europe.
-
E.
US
US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b683ac8190ac97bd775a860d29 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269fc0d20819082bfe0331972e2b6 |
completed | April 5, 2026, 1:56 p.m. |
Created at: March 30, 2026, 8:47 p.m.