Triple
T12111967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egba Egba-Remo |
E288452
|
entity |
| Predicate | culturalAffiliation |
P1114
|
FINISHED |
| Object | Remo |
E303740
|
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: Remo | Statement: [Egba Egba-Remo, culturalAffiliation, Remo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remo Context triple: [Egba Egba-Remo, culturalAffiliation, Remo]
-
A.
Remo
chosen
Remo is a prominent Yoruba sub-group in southwestern Nigeria, historically centered in present-day Ogun State and known for its rich cultural and political heritage.
-
B.
Remo
Remo is a popular Tamil romantic comedy film starring Sivakarthikeyan, known for its cross-dressing protagonist and commercially successful run.
-
C.
Gitarzan
Gitarzan is a 1969 novelty song by Ray Stevens that humorously portrays a jungle man turned rock musician, blending comedy with pop and rock elements.
-
D.
Merlo
Merlo is a popular tourist town in Argentina known for its mild climate, mountain scenery, and outdoor recreational activities.
-
E.
Gitarja
Gitarja, also known as Tribhuwana Wijayatunggadewi, was a 14th-century Javanese queen of the Majapahit Empire who significantly expanded its territory and influence.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156814148190b47d63a89fcab17c |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.