Triple
T15751989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Money Talks |
E381868
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Heather Locklear |
E699911
|
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: Heather Locklear | Statement: [Money Talks, starring, Heather Locklear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heather Locklear Context triple: [Money Talks, starring, Heather Locklear]
-
A.
Heather Locklear
chosen
Heather Locklear is an American actress best known for her prominent roles on television series such as "Dynasty," "T.J. Hooker," and especially "Melrose Place."
-
B.
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."
-
C.
Kristy McNichol
Kristy McNichol is an American actress best known for her Emmy-winning role on the TV drama "Family" and her work in films like "Little Darlings" and "Only When I Laugh."
-
D.
Morgan Fairchild
Morgan Fairchild is an American actress best known for her glamorous, often villainous roles in television soap operas and prime-time dramas from the 1970s and 1980s.
-
E.
Paget Brewster
Paget Brewster is an American actress best known for her roles in television series such as "Criminal Minds," "Friends," and various comedic and voice-acting projects.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009183a94081909c5892b1ccbc1d7a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 4:47 a.m.