Triple
T5312153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tale of Mr. Jeremy Fisher |
E119055
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Jeremy Fisher |
E510295
|
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: Jeremy Fisher | Statement: [The Tale of Mr. Jeremy Fisher, featuresCharacter, Jeremy Fisher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Fisher Context triple: [The Tale of Mr. Jeremy Fisher, featuresCharacter, Jeremy Fisher]
-
A.
Jeremy Fisher
chosen
Jeremy Fisher is a fictional frog who stars as the hapless, rain-loving angler in Beatrix Potter’s classic children’s story.
-
B.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
C.
Nate Fisher
Nate Fisher is the emotionally conflicted eldest son in the Fisher family and a central figure in the HBO drama series "Six Feet Under," known for grappling with mortality, family duty, and personal fulfillment.
-
D.
Jeremy Theobald
Jeremy Theobald is a British actor best known for starring in Christopher Nolan’s debut feature film "Following."
-
E.
Justin Wilkes
Justin Wilkes is a television producer and creator known for developing the series "Mars" and other documentary and scripted projects.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8535a1ec819094b2c5d3cfc57f56 |
completed | March 20, 2026, 5:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21b546a481909d18cad5ec391705 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:54 p.m.