Triple
T16611509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mallatobuck |
E403579
|
entity |
| Predicate | family |
P566
|
FINISHED |
| Object | Lumpawaroo |
E403580
|
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: Lumpawaroo | Statement: [Mallatobuck, family, Lumpawaroo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumpawaroo Context triple: [Mallatobuck, family, Lumpawaroo]
-
A.
Lumpawaroo
chosen
Lumpawaroo, also known as "Lumpy," is Chewbacca's Wookiee son who appears in Star Wars expanded universe stories and media.
-
B.
Lomper
Lomper is a shy, suicidal former security guard who becomes one of the unlikely amateur strippers in the British comedy film "The Full Monty."
-
C.
Bugaloo
Bugaloo is a minor character in the 1994 basketball-themed drama film "Above the Rim."
-
D.
Lumalee
Lumalee is a melancholic blue Luma character from The Super Mario Bros. Movie, known for its darkly humorous, existential outlook despite its cute star-like appearance.
-
E.
Bugalhos
Bugalhos is a civil parish in the municipality of Alcanena, located in central Portugal.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b40c288190afda6c7643b61e85 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.