Triple
T13087803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierson |
E310381
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | William Pierson |
E941380
|
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 Pierson | Statement: [Pierson, hasNotableBearer, William Pierson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Pierson Context triple: [Pierson, hasNotableBearer, William Pierson]
-
A.
William Pierson
chosen
William Pierson is a tough, battle-hardened U.S. Army staff sergeant and key supporting character in the World War II–themed video game Call of Duty: WWII.
-
B.
Thomas Pierson
Thomas Pierson is an American nonprofit leader best known for establishing and guiding the SETI Institute, a major center for scientific research on the search for extraterrestrial intelligence.
-
C.
William Wheeler
William Wheeler is an American screenwriter known for his work on films such as the biographical drama "Queen of Katwe."
-
D.
Arthur Pierson
Arthur Pierson was an American actor and later film and television director active in the early to mid-20th century.
-
E.
William Demarest
William Demarest was an American character actor best known for his roles in numerous Hollywood films and the television series "My Three Sons."
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981378dd08190b4f00e4e5df0e480 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d614704481908758cf8691a941ea |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:02 p.m.