Triple
T5148643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Animal Kingdom |
E116136
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Liz Watts |
E296992
|
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: Liz Watts | Statement: [Animal Kingdom, producer, Liz Watts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liz Watts Context triple: [Animal Kingdom, producer, Liz Watts]
-
A.
Liz Watts
chosen
Liz Watts is an Australian film and television producer known for her work on acclaimed projects such as the crime drama film "Animal Kingdom."
-
B.
Liz Wilson
Liz Wilson is a veterinarian and Jon Arbuckle’s love interest in the Garfield franchise, including the live-action film "Garfield: The Movie."
-
C.
Deborah Watling
Deborah Watling was an English actress best known for playing the companion Victoria Waterfield in the classic Doctor Who television series.
-
D.
Susan Wakley
Susan Wakley is best known as the wife of Pro Football Hall of Famer and longtime sportscaster Merlin Olsen.
-
E.
Sheila Watson
Sheila Watson was a pioneering Canadian modernist writer and critic best known for her influential novel "The Double Hook," which helped shape the development of contemporary Canadian literature.
- 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_69bfabe6de448190a4e0c2e537a2e045 |
completed | March 22, 2026, 8:44 a.m. |
Created at: March 20, 2026, 1:43 p.m.