Triple
T3489957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Hall |
E73701
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Brad Hall |
E156794
|
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: Brad Hall | Statement: [Henry Hall, hasRelative, Brad Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brad Hall Context triple: [Henry Hall, hasRelative, Brad Hall]
-
A.
Brad Hall
chosen
Brad Hall is an American actor, comedian, writer, and director known for his work on "Saturday Night Live" and for co-creating the sitcom "The Single Guy."
-
B.
Bruce Harrell
Bruce Harrell is an American politician and attorney serving as the mayor of Seattle, known for his long tenure on the Seattle City Council and focus on public safety and police reform.
-
C.
Mark Herron
Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
-
D.
Matt Hulett
Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
-
E.
Brad Holmes
Brad Holmes is an American football executive best known for leading the Detroit Lions’ roster rebuild and organizational turnaround as their general manager.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb94190c8190a81eb41042e51a00 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44ee6f0488190ab4a1c9065c48753 |
completed | March 13, 2026, 5:52 p.m. |
Created at: March 8, 2026, 3:18 p.m.