Triple
T13100012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Wilson Dallas |
E310693
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hugo Wilson Dallas |
E310693
|
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: Hugo Wilson Dallas | Statement: [Hugo Wilson Dallas, name, Hugo Wilson Dallas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Wilson Dallas Context triple: [Hugo Wilson Dallas, name, Hugo Wilson Dallas]
-
A.
Hugo Wilson Dallas
chosen
Hugo Wilson Dallas is the son of American actress Ginnifer Goodwin and her husband, actor Josh Dallas.
-
B.
Sam Wyly
Sam Wyly is an American entrepreneur and billionaire known for founding and investing in numerous technology, retail, and energy companies.
-
C.
Edward Burleson
Edward Burleson was a prominent Texian military and political leader of the Texas Revolution who later served as vice president of the Republic of Texas.
-
D.
Thomas Huston Macbride
Thomas Huston Macbride was an American botanist, educator, and former president of the University of Iowa known for his influential work in mycology and conservation.
-
E.
Gordon Fullerton
Gordon Fullerton was an American test pilot, NASA astronaut, and Space Shuttle commander known for his contributions to both military and civilian aerospace programs.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d981500d34819097037b3c3c33627b |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61bcfe88190866b4330d1669602 |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:04 p.m.