Triple
T11907115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan Rocks! |
E283298
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Terk |
E932259
|
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: Terk | Statement: [Tarzan Rocks!, featuresCharacter, Terk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terk Context triple: [Tarzan Rocks!, featuresCharacter, Terk]
-
A.
Terk
chosen
Terk is the energetic young gorilla from Disney's Tarzan, known for her playful, tomboyish personality and close friendship with Tarzan.
-
B.
Tergu
Tergu is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural setting and historic Romanesque church of Nostra Signora di Tergu.
-
C.
Teron
Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
-
D.
Tengster
Tengster is an alternative name for Taktser, a village in the Amdo region of northeastern Tibet best known as the birthplace of the 14th Dalai Lama.
-
E.
Tarak
Tarak is the popular nickname of N. T. Rama Rao Jr., a leading Telugu film actor known for his roles in action and drama movies.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5264b2081909bda6c24abb89725 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f418543258819083b49a5bbdc520cd |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.