Triple
T20517504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equals |
E503717
|
entity |
| Predicate | characterPortrayedBy |
P1507
|
FINISHED |
| Object | Nia – Kristen Stewart |
—
|
NE NERFINISHED |
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: Nia – Kristen Stewart | Statement: [Equals, characterPortrayedBy, Nia – Kristen Stewart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nia – Kristen Stewart Context triple: [Equals, characterPortrayedBy, Nia – Kristen Stewart]
-
A.
Nia
chosen
Nia is a given name commonly used as a short or familiar form of longer names such as Antonia.
-
B.
Julia Thorne
Julia Thorne was an American writer and mental health advocate best known as the first wife of politician John Kerry.
-
C.
Nadia Blye
Nadia Blye is the intellectually driven, politically engaged war correspondent-turned-academic who serves as the central protagonist in David Hare’s play "The Vertical Hour."
-
D.
Nicole
Nicole is a feminine given name of Greek origin meaning "victory of the people," commonly used in many English- and French-speaking countries.
-
E.
Nicole
Nicole is a fictional character from the American sitcom "The Gregory Hines Show."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.