Triple
T22010784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mol |
E543566
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Postel |
—
|
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: Postel | Statement: [Mol, hasSubdivision, Postel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Postel Context triple: [Mol, hasSubdivision, Postel]
-
A.
Postel
chosen
Postel is a surname most prominently associated with Jon Postel, a pioneering computer scientist and key architect of the early Internet.
-
B.
Cerf
Cerf is a surname most prominently associated with Vint Cerf, a pioneering computer scientist often called one of the "fathers of the Internet."
-
C.
Selma Hacker
Selma Hacker is the gruff, deadpan court clerk on the sitcom "Night Court," known for her sardonic wit and no-nonsense demeanor.
-
D.
David Finfer
David Finfer was an American film editor known for his work on a wide range of Hollywood movies across several decades.
-
E.
Ray Tomlinson
Ray Tomlinson was an American computer programmer best known for inventing networked email and introducing the use of the "@" symbol in email addresses.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a4338c8190836074d21bfbaf78 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.