Triple
T16099788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haskell Wexler |
E390584
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Medium Cool |
E121553
|
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 Cool | Statement: [Haskell Wexler, notableWork, Medium Cool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medium Cool Context triple: [Haskell Wexler, notableWork, Medium Cool]
-
A.
Medium Cool
chosen
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.
-
B.
Medium
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.
-
C.
Medium
Medium is a supernatural drama television series centered on a woman who uses her psychic abilities to help solve crimes.
-
D.
Tiepido
Tiepido is a small river in northern Italy that serves as a tributary of the Panaro River.
-
E.
Sedang
Sedang is an Austroasiatic language of the Bahnaric branch spoken by the Sedang people in Vietnam’s Central Highlands.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb9d6140819087f9b3dc549c4aec |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 5 a.m.