Triple
T16988676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bessie Love |
E412135
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | William Hawks |
E103878
|
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: William Hawks | Statement: [Bessie Love, spouse, William Hawks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Hawks Context triple: [Bessie Love, spouse, William Hawks]
-
A.
William Hawks
chosen
William Hawks was an American film producer and the younger brother of renowned director Howard Hawks.
-
B.
William Thomas Sampson
William Thomas Sampson was a United States Navy admiral best known for commanding American naval forces during the Spanish–American War, particularly at the Battle of Santiago de Cuba.
-
C.
Edward Preble
Edward Preble was a prominent early United States naval officer best known for his aggressive and influential leadership in the Mediterranean during the early 19th century.
-
D.
Fletcher Chase
Fletcher Chase is a fictional former CIA operative turned negotiator who is hired to help secure the release of John Paul Getty III in the crime thriller film "All the Money in the World."
-
E.
Benjamin K. Humphreys
Benjamin K. Humphreys was a U.S. Army officer and engineer whose service and contributions to the military led to a major American base in South Korea being named in his honor.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27dca248190a9b73b16439d5631 |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc12e308819093e7f8933cdd6ba9 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:32 a.m.