Triple
T14641759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Airbender |
E343740
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Katara |
E738529
|
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: Katara | Statement: [The Last Airbender, mainCharacter, Katara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katara Context triple: [The Last Airbender, mainCharacter, Katara]
-
A.
Katara
chosen
Katara is a central protagonist in the animated series "Avatar: The Last Airbender," known as a compassionate and determined waterbender from the Southern Water Tribe.
-
B.
Katara Cultural Village
Katara Cultural Village is a major cultural and artistic complex in Doha, Qatar, featuring theaters, galleries, performance venues, and public spaces that host festivals and events celebrating local and global cultures.
-
C.
Al Jahadir
Al Jahadir is an Arab subtribe belonging to the larger Qahtan tribal confederation, traditionally associated with the southern Arabian Peninsula.
-
D.
Al Nairyah
Al Nairyah is a town in Saudi Arabia located in the kingdom’s oil-rich Eastern Province.
-
E.
Manara
Manara is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade and iconic lighthouse.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d404e881908d26e684702ae122 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.