Triple
T15312228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monsoon |
E366064
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Molly Harris |
E1239698
|
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: Molly Harris | Statement: [Monsoon, castMember, Molly Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Harris Context triple: [Monsoon, castMember, Molly Harris]
-
A.
Molly Harris
chosen
Molly Harris is an actress known for her role in the film "Monsoon."
-
B.
Molly Allen
Molly Allen is a film producer known for her work on the 2014 comedy-drama "Chef."
-
C.
Molly Mickler Smith
Molly Mickler Smith is a film producer known for her work on the romantic comedy "Something Borrowed."
-
D.
Emily Hahn
Emily Hahn is an American actress known for her voice and on-screen roles in film and television, including work in animated features.
-
E.
Molly Ranson
Molly Ranson is an American stage and screen actress known for her work in contemporary theater and television.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232149f88190b385fca6a7588d7b |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 3:16 a.m.