Triple
T489692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Kissinger |
E9957
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | White House Years |
E4913
|
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: White House Years | Statement: [Henry Kissinger, notableWork, White House Years]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White House Years Context triple: [Henry Kissinger, notableWork, White House Years]
-
A.
White House Years
chosen
White House Years is the first volume of Henry Kissinger’s memoirs, covering his tenure as U.S. National Security Advisor and Secretary of State during the Nixon administration.
-
B.
Six Crises
Six Crises is a political memoir by Richard Nixon in which he recounts and analyzes six major challenges from his early political career.
-
C.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
-
D.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
E.
Mr. President
"Mr. President" is a formal style of address used for the President of Ecuador.
- 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0e0a9648190b6a3b2da3a3b51e6 |
completed | Feb. 28, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a474738bb881908e5d0ff6a17301e8 |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.