Triple
T15822446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oh |
E383644
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Vidal Davis |
E386799
|
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: Vidal Davis | Statement: [Oh, writer, Vidal Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vidal Davis Context triple: [Oh, writer, Vidal Davis]
-
A.
Vidal Davis
chosen
Vidal Davis is an American drummer and record producer best known as one half of the R&B and hip-hop production duo Dre & Vidal.
-
B.
Rennie Davis
Rennie Davis was a prominent American anti–Vietnam War activist and one of the Chicago Seven defendants tried for protesting at the 1968 Democratic National Convention.
-
C.
Altovise Davis
Altovise Davis was an American dancer and actress best known as the longtime wife and widow of entertainer Sammy Davis Jr.
-
D.
Kay Hilliard
Kay Hilliard is the central female protagonist in the 1956 musical film "The Opposite Sex," navigating love, betrayal, and personal growth within the world of high society marriages.
-
E.
Rolando Blackman
Rolando Blackman is a former NBA All-Star shooting guard best known for his standout collegiate career at Kansas State and his long tenure with the Dallas Mavericks in the 1980s and early 1990s.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a887d881908f74a1fcba390727 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99999c2c8190b1838aed40e12061 |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.