Triple
T10396653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Tree Yard |
E245037
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Amanda Coe |
E918423
|
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: Amanda Coe | Statement: [Apple Tree Yard, executiveProducer, Amanda Coe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanda Coe Context triple: [Apple Tree Yard, executiveProducer, Amanda Coe]
-
A.
Amanda Coe
chosen
Amanda Coe is a British screenwriter and novelist known for her work on acclaimed television dramas and literary fiction.
-
B.
Amanda Posey
Amanda Posey is a British film producer known for her work on acclaimed literary adaptations and character-driven dramas.
-
C.
Amanda Naughton
Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
-
D.
Amanda Warren
Amanda Warren is an American actress known for her prominent roles in television dramas, including a leading role in the TV adaptation of "The Purge."
-
E.
Amanda Woods
Amanda Woods is a successful but emotionally guarded Los Angeles movie trailer producer who swaps homes with a British woman over Christmas in the romantic comedy film "The Holiday."
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5561714a081909cbf1cc7d5d0ac0a |
completed | April 19, 2026, 10:24 p.m. |
Created at: April 6, 2026, 12:06 p.m.