Triple
T20426577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comment c’est |
E501015
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Pim |
—
|
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: Pim | Statement: [Comment c’est, hasCharacter, Pim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pim Context triple: [Comment c’est, hasCharacter, Pim]
-
A.
Pim
chosen
Pim is the commonly used short form of the Dutch given name Willem.
-
B.
Pom
Pom is the first name of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
-
C.
Pomio
Pomio is a coastal town and administrative center located in the remote southeastern part of East New Britain Province in Papua New Guinea.
-
D.
Mr. Pim
Mr. Pim is a mild, absent-minded elderly gentleman whose unexpected visit and mistaken recollections set off the comedic misunderstandings in A. A. Milne’s play "Mr. Pim Passes By."
-
E.
Pimampiro
Pimampiro is a small town and canton in northern Ecuador known for its agricultural production and Andean highland landscapes.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67ba86ed88190bf2d4448d2abcdc7 |
completed | April 20, 2026, 7:16 p.m. |
Created at: April 16, 2026, 11:30 a.m.