Triple
T23045125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyond the Poseidon Adventure |
E573855
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Mark Harmon |
—
|
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: Mark Harmon | Statement: [Beyond the Poseidon Adventure, stars, Mark Harmon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Harmon Context triple: [Beyond the Poseidon Adventure, stars, Mark Harmon]
-
A.
Mark Harmon
chosen
Mark Harmon is an American actor best known for his long-running role as Special Agent Leroy Jethro Gibbs on the television series NCIS.
-
B.
Dylan McDermott
Dylan McDermott is an American actor best known for his roles in the legal drama "The Practice" and the anthology series "American Horror Story."
-
C.
Gregg Henry
Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
-
D.
Leo Willis
Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
-
E.
Dennis Haysbert
Dennis Haysbert is an American actor known for his deep voice and prominent roles in film and television, including "24," "Major League," and numerous commercial campaigns.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1851811e08190a5af6a112687327e |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.