Triple
T17223128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Sherman |
E418038
|
entity |
| Predicate | hasRelativeByMarriage |
P7844
|
FINISHED |
| Object | Sela Ward |
—
|
NE NERFINISHED |
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: Sela Ward | Statement: [Howard Sherman, hasRelativeByMarriage, Sela Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sela Ward Context triple: [Howard Sherman, hasRelativeByMarriage, Sela Ward]
-
A.
Sela Ward
chosen
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
-
B.
Luana Patten
Luana Patten was an American child actress best known for her early work in Walt Disney films during the 1940s and 1950s.
-
C.
Maud Adams
Maud Adams is a Swedish actress best known for her roles as Bond girls in the James Bond films "The Man with the Golden Gun" and "Octopussy."
-
D.
Lauren Holly
Lauren Holly is an American-Canadian actress best known for her roles in films like "Dumb and Dumber" and the TV series "NCIS."
-
E.
Minka Kelly
Minka Kelly is an American actress known for her roles in television series such as "Friday Night Lights" and "Parenthood," as well as films including "The Roommate" and "The Butler."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddf2c3c8190b6adceaaefd4ccbf |
completed | April 19, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:38 a.m.