Triple
T22153367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akela |
E547469
|
entity |
| Predicate | upholds |
P3106
|
FINISHED |
| Object | Law of the Jungle |
—
|
NE NERFINISHED |
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: Law of the Jungle | Statement: [Akela, upholds, Law of the Jungle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Law of the Jungle Context triple: [Akela, upholds, Law of the Jungle]
-
A.
Law of the Jungle
"Law of the Jungle" is a song featured on the album *Victims of the Future* by Irish rock guitarist Gary Moore.
-
B.
The Law of the Jungle
chosen
"The Law of the Jungle" is a poem and set of rules in Rudyard Kipling’s Jungle Book stories that outlines the code of conduct governing the animals of the jungle.
-
C.
The Law of the Jungle
The Law of the Jungle is a surrealist painting by Japanese avant-garde artist Tarō Okamoto, known for its bold, abstract forms and exploration of primal, chaotic energy.
-
D.
The Law of the Jungle
The Law of the Jungle is an Iranian film featuring prominent actor Behrouz Vossoughi in a leading role.
-
E.
King of the Jungle
King of the Jungle is the honorary title awarded to the overall winner of the reality TV show "I'm a Celebrity...Get Me Out of Here!"
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f5a740819093628386732b91a6 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.