Triple
T19127083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Evers |
E468210
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Jake |
—
|
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: Jake | Statement: [Jake Evers, hasGivenName, Jake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Context triple: [Jake Evers, hasGivenName, Jake]
-
A.
Jake
Jake is a fictional character from the "Pacific Rim" film franchise, known as the charismatic Jaeger pilot and son of legendary pilot Stacker Pentecost.
-
B.
Jake
chosen
Jake is a masculine given name commonly used in English-speaking countries, often as a short form of Jacob.
-
C.
Jack
Jack is a common masculine given name, often used as a familiar form of John and widely featured in English-language literature and popular culture.
-
D.
Jack
Jack is the standard botanical author abbreviation for William Jack, a 19th-century Scottish physician and botanist known for his work on Southeast Asian flora.
-
E.
Jason
Jason Mantzoukas is an American actor, comedian, and writer known for his eccentric, high-energy roles in television and film.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cd851081909d5665b362ae08de |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.