Triple
T11760376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madam Secretary |
E279638
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Russell Jackson |
E289752
|
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: Russell Jackson | Statement: [Madam Secretary, character, Russell Jackson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russell Jackson Context triple: [Madam Secretary, character, Russell Jackson]
-
A.
Russell Jackson
chosen
Russell Jackson is a central fictional character in the political drama series "Madam Secretary," serving as the shrewd and pragmatic White House Chief of Staff.
-
B.
Atley Jackson
Atley Jackson is a character from the action film "Gone in 60 Seconds," involved in the high-stakes world of professional car theft.
-
C.
Holton D. Robinson
Holton D. Robinson was an American civil engineer noted for his work on major suspension bridges in the early 20th century.
-
D.
Joseph Burkett
Joseph Burkett is an American defense contractor best known as the husband of journalist and war correspondent Lara Logan.
-
E.
Noble Johnson
Noble Johnson was an American character actor and pioneering African-American film producer known for his prolific work in early Hollywood cinema, including roles in classic adventure and horror films.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4713ee6e48190ab1860b9899b7b48 |
completed | May 1, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:41 p.m.