Triple
T13826068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marlene Lawston |
E332250
|
entity |
| Predicate | coStarredWith |
P14987
|
FINISHED |
| Object | Will Estes |
E781248
|
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: Will Estes | Statement: [Marlene Lawston, coStarredWith, Will Estes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Estes Context triple: [Marlene Lawston, coStarredWith, Will Estes]
-
A.
Will Estes
chosen
Will Estes is an American actor best known for playing NYPD officer Jamie Reagan on the television drama series "Blue Bloods."
-
B.
Tony Estes
Tony Estes is a music producer best known for his work on Whitney Houston’s hit song "It’s Not Right but It’s Okay."
-
C.
Fenton Stevens
Fenton Stevens is the surname of British actor and comedian Michael Fenton Stevens, known for his work in television, radio, and comedy.
-
D.
James Stevens
James Stevens is the emotionally restrained English butler at the heart of Kazuo Ishiguro’s novel "The Remains of the Day," famously portrayed on film by Anthony Hopkins.
-
E.
Christopher Keyser
Christopher Keyser is an American television writer and producer best known for co-creating the drama series "Party of Five" and working on numerous other network and streaming shows.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e85c6c81908bdf5d43b917d151 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.