Triple
T5430244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evhead |
E121467
|
entity |
| Predicate | associatedWithOrganization |
P629
|
FINISHED |
| Object | Medium |
E95216
|
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: Medium | Statement: [Evhead, associatedWithOrganization, Medium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medium Context triple: [Evhead, associatedWithOrganization, Medium]
-
A.
Medium
chosen
Medium is an online publishing platform that allows writers and readers to share and discover long-form articles, essays, and stories across a wide range of topics.
-
B.
Medium Cool
Medium Cool is a 1969 American drama film directed by Haskell Wexler that blends fiction and documentary techniques to depict social and political unrest surrounding the 1968 Democratic National Convention in Chicago.
-
C.
Middle Mon
Middle Mon is a historical stage of the Mon language, an important early written Austroasiatic language of mainland Southeast Asia.
-
D.
Medium (TV series)
Medium is an American supernatural drama television series that follows a woman who uses her psychic abilities to help solve crimes.
-
E.
Min
Min is a common given name of Chinese origin used for both males and females.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd883e5e10819091e159dfd245e94d |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ac6285081909afa6e91a023f6d5 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.