Triple
T10873781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennings |
E256723
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Jennins |
E256723
|
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: Jennins | Statement: [Jennings, hasVariant, Jennins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennins Context triple: [Jennings, hasVariant, Jennins]
-
A.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
B.
Jenkens
Jenkens is an alternative spelling or variant form of the name Jenkins, which is commonly used as an English surname and given name.
-
C.
Jennings
chosen
Jennings is a common English surname borne by numerous notable individuals across fields such as music, sports, politics, and entertainment.
-
D.
Jen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
E.
Jerins
Jerins is the surname of American child actress Sterling Jerins, known for her roles in films like "World War Z" and "The Conjuring" series.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751891b508190959784f212e06acb |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7ddafc48190824c133bb33b9efe |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.