Triple
T14363551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limbo |
E356163
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Riri |
E1095810
|
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: Riri | Statement: [Limbo, notableSong, Riri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riri Context triple: [Limbo, notableSong, Riri]
-
A.
Riri
Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
-
B.
Riri
chosen
Riri is a character associated with the "Limbo" universe, likely serving as a notable figure or component within its narrative or world.
-
C.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
D.
Roro
Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
-
E.
Kiki Aru
Kiki Aru is a young Munchkin boy and powerful but misguided magician who serves as the central antagonist in L. Frank Baum’s Oz novel "The Magic of Oz."
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fabec088190bd8128371b29e958 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550ca6b88190b76cd486bdd66fdf |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.