Triple
T5148425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lantana |
E116131
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jan Chapman |
E118657
|
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: Jan Chapman | Statement: [Lantana, producer, Jan Chapman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jan Chapman Context triple: [Lantana, producer, Jan Chapman]
-
A.
Jan Chapman
chosen
Jan Chapman is an acclaimed Australian film producer known for her work on influential independent and art-house films.
-
B.
Adam Chapman
Adam Chapman is a television producer known for his work on the acclaimed nature documentary series "Our Planet."
-
C.
Peter Chapman
Peter Chapman is a writer and journalist known for his historical and political analyses of global corporations and their impact, including his work on the United Fruit Company.
-
D.
Jed Harris
Jed Harris was a prominent American theatrical producer and director known for staging influential Broadway productions in the mid-20th century.
-
E.
Thomas Sharp
Thomas Sharp was an English cleric and theologian of the early 18th century, known for his ecclesiastical writings and for serving as Archdeacon of Northumberland.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78b17028819080568715df8c13eb |
completed | March 20, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfff6e8c8190883fc981fca95f48 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:43 p.m.