Triple
T9283494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan films |
E223127
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Kala |
E505016
|
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: Kala | Statement: [Tarzan films, hasCharacter, Kala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kala Context triple: [Tarzan films, hasCharacter, Kala]
-
A.
Kala
chosen
Kala is a character from the Old Javanese epic poem Kakawin Sutasoma, often associated with destructive or fearsome aspects within the narrative’s moral and spiritual themes.
-
B.
Kala
Kala is the critically acclaimed 2007 studio album by British-Sri Lankan artist M.I.A., known for its eclectic global influences and politically charged themes.
-
C.
Kaala
Kaala is a 2018 Indian Tamil-language action drama film starring Rajinikanth as a slum leader fighting for the rights of oppressed people in Mumbai.
-
D.
Kaula
Kaula is a small, uninhabited rocky islet off the coast of Kauai in Hawaii, known for its steep cliffs, seabird colonies, and use as a U.S. Navy bombing range.
-
E.
Kori
Kori is a given name, often used as a variant spelling of Cory or Corey.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081e72988190917f425e64631837 |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2134d408190b21c7dc642549fe4 |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:34 p.m.