Triple
T1756958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivia Cole |
E38569
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cole |
E118012
|
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: Cole | Statement: [Olivia Cole, familyName, Cole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cole Context triple: [Olivia Cole, familyName, Cole]
-
A.
Cole
chosen
Cole is a given name most famously associated with American composer and songwriter Cole Porter.
-
B.
Neal
Neal is a masculine given name of Gaelic origin, commonly used in English-speaking countries.
-
C.
Jack Colton
Jack Colton is a rugged, adventurous bird smuggler-turned-hero who helps romance novelist Joan Wilder navigate the Colombian jungle in the film "Romancing the Stone."
-
D.
Carl
Carl is the given name of Carl Sagan, the renowned American astronomer, science communicator, and author.
-
E.
Carl
Carl is the given name of Charles I Louis, the 17th-century Elector Palatine of the Rhine in the Holy Roman Empire.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa643ce88481909d2feef3c5fd849f |
completed | March 6, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0ea4cc08190b47d81a54c294a9a |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:31 p.m.