Triple
T2843087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jocelyn Howard |
E62514
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Reed Howard |
E74130
|
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: Reed Howard | Statement: [Jocelyn Howard, sibling, Reed Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reed Howard Context triple: [Jocelyn Howard, sibling, Reed Howard]
-
A.
Reed Howard
chosen
Reed Howard is an American golfer and the son of filmmaker and actor Ron Howard.
-
B.
Cecil Reed
Cecil Reed was a party in the landmark U.S. Supreme Court case Reed v. Reed, which for the first time held that laws discriminating on the basis of sex violated the Equal Protection Clause.
-
C.
Donald Howard
Donald Howard was a British politician best known for serving on the controversial Simon Commission that investigated constitutional reform in colonial India.
-
D.
Bobby Reed
Bobby Reed was the husband of actress and vaudeville performer June Havoc.
-
E.
Frank Wead
Frank Wead was an American naval aviator-turned-screenwriter known for his aviation-themed stories and contributions to classic Hollywood films.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8d570388190b4ed81ace605c6c3 |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:01 p.m.