Triple
T16016225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamari (The Lion King 2019) |
E388472
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Timon |
E173070
|
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: Timon | Statement: [Kamari (The Lion King 2019), enemyOf, Timon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timon Context triple: [Kamari (The Lion King 2019), enemyOf, Timon]
-
A.
Timon
chosen
Timon is a wisecracking meerkat from Disney’s The Lion King, best known as Simba’s carefree friend and one half of the comic duo Timon and Pumbaa.
-
B.
Silvius
Silvius is a masculine given name of Latin origin, historically associated with ancient Roman figures and later adapted into various European languages.
-
C.
Dronkey
Dronkey is a fictional hybrid creature—half dragon, half donkey—from the Shrek film series, known as the offspring of Donkey and Dragon.
-
D.
Rinuccio
Rinuccio is a young Florentine nobleman and romantic lead in Giacomo Puccini’s one-act opera "Gianni Schicchi."
-
E.
Pomio
Pomio is a coastal town and administrative center located in the remote southeastern part of East New Britain Province in Papua New Guinea.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18294f6c48190ab9d3eead268f846 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf284fa481909b571d1bf107fca4 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.