Triple
T14213633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Manhattan |
E352291
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | Jennifer Flackett |
E1136567
|
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: Jennifer Flackett | Statement: [Little Manhattan, screenplayBy, Jennifer Flackett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Flackett Context triple: [Little Manhattan, screenplayBy, Jennifer Flackett]
-
A.
Jennifer Flackett
chosen
Jennifer Flackett is an American screenwriter and director known for co-creating the animated series "Big Mouth" and co-writing family and adventure films.
-
B.
Sarah Flack
Sarah Flack is an American film editor known for her long-time collaboration with director Sofia Coppola and her work on acclaimed independent and art-house films.
-
C.
Laura Harrington
Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
-
D.
Bridget Dryden
Bridget Dryden was the mother of the notable Puritan spiritual leader and religious dissenter Anne Hutchinson.
-
E.
Kelly Gale
Kelly Gale is a Swedish-Australian fashion model known for her work with Victoria’s Secret and appearances in major international fashion campaigns and magazines.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff218b93d48190a7e16c3934828aa8 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 1:06 a.m.