Triple
T8958997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Byers |
E213550
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Jim Hopper |
E112806
|
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: Jim Hopper | Statement: [Jonathan Byers, associatedWith, Jim Hopper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Hopper Context triple: [Jonathan Byers, associatedWith, Jim Hopper]
-
A.
Jim Hopper
chosen
Jim Hopper is a gruff but deeply caring small-town police chief who becomes a central protector of the children and supernatural secrets in the series "Stranger Things."
-
B.
James Hopper
James Hopper is the full given name of Jim Hopper, the fictional small-town police chief from the television series "Stranger Things."
-
C.
Captain Grimes
Captain Grimes is a roguish, hard-drinking schoolmaster and recurring comic antihero in Evelyn Waugh’s novel "Decline and Fall."
-
D.
William Kincaid
William Kincaid was a renowned American flutist and influential teacher, widely regarded as one of the foremost flute pedagogues of the 20th century.
-
E.
Hobie Doyle
Hobie Doyle is a singing cowboy movie star and bumbling yet earnest actor in the Coen brothers’ film "Hail, Caesar!"
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc672b12b48190a9d964f79b96d237 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc946a2f88190b7cd0fca67d31dfd |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 7 p.m.