Triple
T6994346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Miano |
E162169
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Miss Stevens |
E602477
|
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: Miss Stevens | Statement: [Andrew Miano, notableWork, Miss Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miss Stevens Context triple: [Andrew Miano, notableWork, Miss Stevens]
-
A.
Miss Stevens
chosen
Miss Stevens is a 2016 indie drama film in which Timothée Chalamet gives an early acclaimed performance as a troubled high school student on a road trip with his teacher to a drama competition.
-
B.
Ms. Weiss
Ms. Weiss is a social worker character in the film "Precious," known for her pivotal role in supporting the abused teenage protagonist.
-
C.
Ms. Kelly
Ms. Kelly is the second solo studio album by American singer Kelly Rowland, showcasing her R&B sound following her success with Destiny's Child.
-
D.
Miss Rose White
Miss Rose White is a 1992 television drama film about a Holocaust survivor rebuilding her life in New York, noted for Kyra Sedgwick’s acclaimed lead performance.
-
E.
Ms. Teets
Ms. Teets is the central character of the story "Good Vibes," around whom the main events and themes revolve.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeaa88c8190a49f8504c1793e1f |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a1adec88190a769ec7af0fa7b51 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:32 p.m.