Triple
T18494950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Hardy |
E451920
|
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 Hardy, givenName, Jeremy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Context triple: [Jeremy Hardy, 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 the bumbling but good-hearted crow who provides comic relief and occasional help to the heroine in the animated film *The Secret of NIMH*.
-
E.
Jeremy
Jeremy is one of the central male protagonists in the romantic comedy film "Think Like a Man," which follows a group of men whose relationships are upended when their partners start using advice from Steve Harvey’s dating book.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532bfeef4819096b2fa28abb662b9 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 11:35 a.m.