Triple
T20870006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Seaborn |
E513863
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cherry |
—
|
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: Cherry | Statement: [Cherry Seaborn, givenName, Cherry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherry Context triple: [Cherry Seaborn, givenName, Cherry]
-
A.
Cherry
Cherry is a film featuring actor Forrest Goodluck in a significant role.
-
B.
Cherry
Cherry is a common English surname borne by various individuals, including American actor Jake Cherry.
-
C.
Cherry
Cherry is a song by the electronic rock duo Ratatat, known for its melodic guitar lines and atmospheric, instrumental style.
-
D.
Cherry
Cherry is a character in George Farquhar's Restoration comedy "The Beaux' Stratagem," known as the innkeeper's clever and spirited daughter.
-
E.
Cherry
chosen
Cherry is a feminine given name used in English-speaking countries, often associated with the fruit and connoting sweetness or freshness.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c4637ec48190830023d20fb8124c |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:45 p.m.