Triple
T14461099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavagirl |
E358584
|
entity |
| Predicate | residesIn |
P75
|
FINISHED |
| Object | Planet Drool |
E358585
|
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: Planet Drool | Statement: [Lavagirl, residesIn, Planet Drool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Planet Drool Context triple: [Lavagirl, residesIn, Planet Drool]
-
A.
Planet Drool
chosen
Planet Drool is a colorful, surreal dream world filled with imaginative landscapes and characters in the fantasy film "The Adventures of Sharkboy and Lavagirl in 3-D."
-
B.
Crazy Planets
Crazy Planets is a social network artillery-style game developed by Playfish, known for its turn-based combat and cartoonish outer-space setting on platforms like Facebook.
-
C.
Troll Station
Troll Station is a Norwegian Antarctic research base in Queen Maud Land used for scientific studies and logistical support in the region.
-
D.
Planet King
Planet King is the sobriquet of Philip IV of Spain, a 17th-century Habsburg monarch noted for his vast but declining global empire and significant patronage of the arts.
-
E.
Lumpy Space
Lumpy Space is a floating, cloud-like dimension inhabited by lumpy, amorphous beings in the Adventure Time universe.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91abc1008190a19de4f8f0112c9d |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6495660081908ab9db11939e74f7 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.