Triple
T23094966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Ship |
E575857
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Michael Esper |
—
|
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: Michael Esper | Statement: [The Last Ship, starred, Michael Esper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Esper Context triple: [The Last Ship, starred, Michael Esper]
-
A.
Michael Esper
chosen
Michael Esper is an American actor known for his work in television, film, and on Broadway, including roles in series like "Shades of Blue" and numerous acclaimed stage productions.
-
B.
Michael Froman
Michael Froman is an American lawyer and trade official who served as the U.S. Trade Representative under President Barack Obama.
-
C.
Mark Esper
Mark Esper is an American defense official and former U.S. Secretary of Defense who served under President Donald Trump.
-
D.
David Malpass
David Malpass is an American economist and former U.S. Treasury official who served as President of the World Bank Group from 2019 to 2023.
-
E.
Robert Perceval Armitage
Robert Perceval Armitage was a British colonial administrator who served as Governor of Cyprus and later of Nyasaland during the mid-20th century.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de3b2b481909ef598b447ed4dd2 |
completed | April 29, 2026, 4:49 a.m. |
Created at: April 17, 2026, 3:57 p.m.