Triple
T17269268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jen Easterly |
E419209
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jen |
E271644
|
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: Jen | Statement: [Jen Easterly, givenName, Jen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jen Context triple: [Jen Easterly, givenName, Jen]
-
A.
Jen
chosen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
B.
Jen
Jen is the young Gelfling hero and central protagonist of the fantasy film "The Dark Crystal," destined to restore balance to his world.
-
C.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
D.
Jenny
Jenny is a central character in Kurt Weill and Bertolt Brecht’s opera "Rise and Fall of the City of Mahagonny," often portrayed as a pragmatic, disillusioned prostitute who embodies the work’s critique of capitalist excess and moral decay.
-
E.
Jenny
Jenny is the wife of Charlie.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4803b48190894b3bb9a4970602 |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794a09b8819086da30f38c6d4c20 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.