Triple
T16295843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All the Way (HBO film) |
E395643
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Everett Dirksen |
E34724
|
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: Everett Dirksen | Statement: [All the Way (HBO film), portrays, Everett Dirksen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everett Dirksen Context triple: [All the Way (HBO film), portrays, Everett Dirksen]
-
A.
Everett Dirksen
chosen
Everett Dirksen was a prominent mid-20th-century Republican U.S. Senator from Illinois known for his influential leadership and key role in passing major civil rights legislation.
-
B.
Lewis Deschler
Lewis Deschler was a long-serving and influential Parliamentarian of the U.S. House of Representatives, known for his expertise in legislative procedure and rules.
-
C.
Harold H. Burton
Harold H. Burton was an American jurist and politician who served as an Associate Justice of the U.S. Supreme Court from 1945 to 1958.
-
D.
Howard E. Smith
Howard E. Smith is a film editor best known for his work on major Hollywood productions, including the action thriller "Point Break."
-
E.
Howard E. Smith
Howard E. Smith was a film editor best known for his work on notable movies such as "Strange Days."
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2d08108190bab1b3325923af1d |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025ff9020819088f2146bdbfb2e2a |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.