Triple
T14162848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful Creatures |
E350991
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Molly Mickler Smith |
E587427
|
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 Mickler Smith | Statement: [Beautiful Creatures, producer, Molly Mickler Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Mickler Smith Context triple: [Beautiful Creatures, producer, Molly Mickler Smith]
-
A.
Molly Mickler Smith
chosen
Molly Mickler Smith is a film producer known for her work on the romantic comedy "Something Borrowed."
-
B.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
-
C.
Molly Smith
Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
-
D.
Kelly Miller Smith
Kelly Miller Smith was an influential African American Baptist minister and civil rights leader in Nashville who played a key role in organizing nonviolent protests during the Civil Rights Movement.
-
E.
Rachel McCleary
Rachel McCleary is an American economist and scholar known for her work on the intersection of religion, culture, and economic development.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff288ba908190a36c4784331d1e60 |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 12:59 a.m.