Triple
T3020156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Morrison |
E82434
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Morrison |
E127552
|
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: Morrison | Statement: [Tommy Morrison, familyName, Morrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morrison Context triple: [Tommy Morrison, familyName, Morrison]
-
A.
Morrison
chosen
Morrison is a common English and Scottish surname borne by numerous notable figures in politics, sports, arts, and public life.
-
B.
Morrison
Morrison is a small city in northwestern Illinois that serves as the administrative and commercial hub of Whiteside County.
-
C.
Gyasi
Gyasi is a masculine given name most notably borne by American professional soccer player Gyasi Zardes.
-
D.
Toni Morrison
Toni Morrison was a renowned American novelist, essayist, and professor celebrated for her powerful explorations of Black American life and identity in works such as "Beloved" and "Song of Solomon."
-
E.
Ja'Net DuBois
Ja'Net DuBois was an American actress and singer best known for her role as Willona Woods on the sitcom "Good Times" and for co-writing and singing the theme song for "The Jeffersons."
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a940c048190bc46e2c8001db8c0 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deac96b48190a65799e35a7b166e |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3 p.m.