Triple
T7643654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simba |
E173068
|
entity |
| Predicate | friend |
P8712
|
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: [Simba, friend, Timon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timon Context triple: [Simba, friend, 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.
Ramolino
Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
-
D.
Sophillus
Sophillus was the father of the ancient Greek tragedian Sophocles, about whom little is known beyond his paternal connection to the playwright.
-
E.
Daphnis
Daphnis is a young shepherd and one of the two pastoral lovers at the center of the ancient Greek romance "Daphnis and Chloe."
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faef96908190a7724b204f9d8c9e |
completed | March 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89acaac6481908ef763647a0ca9b3 |
completed | March 29, 2026, 3:21 a.m. |
Created at: March 27, 2026, 3:58 p.m.