Triple
T22935753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacklyn |
E569578
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Jaclyn |
—
|
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: Jaclyn | Statement: [Jacklyn, relatedName, Jaclyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaclyn Context triple: [Jacklyn, relatedName, Jaclyn]
-
A.
Jacklyn
chosen
Jacklyn is a feminine given name, typically considered a modern or variant form of Jacqueline.
-
B.
Kailyn
Kailyn is a feminine given name, often considered a modern variant or stylistic spelling related to names like Kylie and Kaylin.
-
C.
Jenna
Jenna is a central character in the 2006 romantic drama film "The Last Kiss," serving as the protagonist's pregnant girlfriend whose relationship turmoil drives much of the story's emotional conflict.
-
D.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
-
E.
Jenna
Jenna is a sympathetic and resourceful young woman who becomes one of the central protagonists trying to survive Jason Voorhees’ killing spree in the 2009 reboot of Friday the 13th.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181350c7881908a72dc7a30e1aaff |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.