Triple
T5591778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secunda |
E146894
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Evander |
E292940
|
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: Evander | Statement: [Secunda, locatedNear, Evander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evander Context triple: [Secunda, locatedNear, Evander]
-
A.
Evander
chosen
Evander is a masculine given name most famously borne by American former heavyweight boxing champion Evander Holyfield.
-
B.
Trevor Berbick
Trevor Berbick was a Jamaican-born heavyweight boxer best known as the last man to fight and defeat Muhammad Ali and later losing his WBC title to a young Mike Tyson.
-
C.
Domantis
Domantis is a biotechnology company based in the Cambridge life sciences cluster, known for developing next-generation antibody-based therapeutics.
-
D.
Tyson
Tyson is a character in the musical and film "Black Nativity," contributing to its contemporary retelling of the Nativity story through a modern African-American lens.
-
E.
Tyson
Tyson is the surname of Neil deGrasse Tyson, the prominent American astrophysicist, author, and science communicator.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a3365c8190bd223226c0a6969f |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286852148190ad4975fe746d7001 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.