Triple
T7603957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lion King (2019 film) |
E180053
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Pride Lands |
E173072
|
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: Pride Lands | Statement: [The Lion King (2019 film), setIn, Pride Lands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pride Lands Context triple: [The Lion King (2019 film), setIn, Pride Lands]
-
A.
Pride Lands
chosen
The Pride Lands is the fictional African savanna kingdom ruled by lions in Disney's "The Lion King," known for its iconic Pride Rock and diverse animal inhabitants.
-
B.
Grassfields
Grassfields is a highland region of western Cameroon known for its diverse Bantu and Grassfields Bantu ethnic groups, rich traditional kingdoms, and vibrant cultural heritage.
-
C.
Zinzana
Zinzana is a 2015 Emirati thriller film directed by Majid Al Ansari, known for its tense, single-location story about a man trapped in a police station with a dangerous stranger.
-
D.
Tômbua-Lândana
Tômbua-Lândana is a major offshore oil field located off the coast of Angola’s Cabinda province, known for its significant deepwater crude production.
-
E.
Lanseria
Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fbd1408190b721bf016f997c7b |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8684f3cf08190bc3cbafbd8c1b9a0 |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:54 p.m.