Triple
T10512448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Hisses |
E247948
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Ned Sparks |
E254367
|
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: Ned Sparks | Statement: [Love and Hisses, hasCastMember, Ned Sparks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ned Sparks Context triple: [Love and Hisses, hasCastMember, Ned Sparks]
-
A.
Ned Sparks
chosen
Ned Sparks was a Canadian-born character actor best known for his deadpan expression and sarcastic, gravelly-voiced comedic roles in early Hollywood films.
-
B.
Ned Pines
Ned Pines was an American pulp magazine and comic book publisher best known for founding Standard/Better/Nedor Publications, which produced numerous popular science fiction and adventure titles in the mid-20th century.
-
C.
Sam Sneed
Sam Sneed is an American hip hop producer and rapper best known for his work with Death Row Records in the 1990s.
-
D.
Randy Sparks
Randy Sparks is an American musician, songwriter, and founder of the folk group The New Christy Minstrels, influential in the 1960s folk revival.
-
E.
Ned Trent
Ned Trent is the protagonist of the thriller novel "The Specialist," known for his role as a skilled and determined operative navigating high-stakes danger.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509ca214481909b3ed9265e7a6704 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcf65f808190993dbacde2df20eb |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 6, 2026, 12:27 p.m.