Triple
T7672503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Buck |
E173780
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Tarzan |
E67967
|
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: Tarzan | Statement: [Chris Buck, notableWork, Tarzan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarzan Context triple: [Chris Buck, notableWork, Tarzan]
-
A.
Tarzan
Tarzan is a fictional jungle hero, raised by apes and known for his extraordinary strength, agility, and deep connection to the natural world.
-
B.
Tarzan
chosen
Tarzan is a 1999 animated adventure film produced by Walt Disney Animation Studios, adapting Edgar Rice Burroughs’ story of a man raised by apes in the African jungle.
-
C.
Tarzan the Ape Man
Tarzan the Ape Man is a 1932 adventure film that introduced Olympic swimmer Johnny Weissmuller in his iconic role as Edgar Rice Burroughs’ jungle hero Tarzan.
-
D.
The Legend of Tarzan
The Legend of Tarzan is a 2016 action-adventure film that reimagines Edgar Rice Burroughs’ classic jungle hero as he returns to the Congo to confront a deadly conspiracy.
-
E.
Tarzan and His Mate
Tarzan and His Mate is a 1934 pre-Code adventure film in the Tarzan series, renowned for its jungle action, romantic storyline, and one of early Hollywood’s most famous underwater sequences.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701de94208190a7627521211452dc |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a22f74f481909498391bfaf23428 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.