Triple
T20688021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Doolan |
E508471
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | "Animal Kingdom" |
—
|
NE NERFINISHED |
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: "Animal Kingdom" | Statement: [Luke Doolan, notableWork, "Animal Kingdom"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Animal Kingdom" Context triple: [Luke Doolan, notableWork, "Animal Kingdom"]
-
A.
"Animal Kingdom"
chosen
"Animal Kingdom" is a critically acclaimed 2010 Australian crime drama film that explores the dynamics of a Melbourne crime family and the corrupting influence of violence and power.
-
B.
"Lion"
"Lion" is a critically acclaimed 2016 biographical drama film that follows an Indian man's journey to find his birth family using Google Earth after being separated from them as a child.
-
C.
Red Dog
Red Dog is a 2011 Australian comedy-drama film based on the true story of a wandering kelpie that unites a remote mining community in Western Australia.
-
D.
Red Dog
"Red Dog" is a short story by Rudyard Kipling featuring Mowgli’s perilous battle against a deadly pack of dholes in the Indian jungle.
-
E.
Jungala
Jungala is a jungle-themed area at Busch Gardens Tampa Bay featuring animal exhibits, interactive play zones, and family-friendly rides.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beaddfe88190897b8963fa8b2245 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.