Triple
T21729431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Senglin |
E536364
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jeremy |
—
|
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: Jeremy | Statement: [Jeremy Senglin, givenName, Jeremy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Context triple: [Jeremy Senglin, givenName, Jeremy]
-
A.
Jeremy
"Jeremy" is a widely acclaimed Pearl Jam song, known for its haunting narrative about a troubled youth and its powerful, socially charged music video.
-
B.
Jeremy
Jeremy is the given name of American actor Jeremy Ray Taylor, known for his role as Ben Hanscom in the horror film "It" (2017).
-
C.
Jeremy
chosen
Jeremy is a masculine given name of biblical origin that has been widely used in English-speaking countries.
-
D.
Jeremy
Jeremy is a music producer credited with working on 2Pac’s debut studio album, "2Pacalypse Now."
-
E.
Jeremy
Jeremy is the central narrator of Ian McEwan’s novel "Black Dogs," through whose reflective and often ambiguous perspective the story’s political, philosophical, and personal themes are explored.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd04c9648190922e8fa7c74ac1b5 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:48 p.m.