Triple
T15029613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Shalhoub |
E378308
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Shalhoub |
E378308
|
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: Michael Shalhoub | Statement: [Michael Shalhoub, name, Michael Shalhoub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Shalhoub Context triple: [Michael Shalhoub, name, Michael Shalhoub]
-
A.
Michael Shalhoub
chosen
Michael Shalhoub is an American actor and the brother of Emmy-winning performer Tony Shalhoub.
-
B.
Tony Shalhoub
Tony Shalhoub is an American actor best known for his Emmy-winning portrayal of the obsessive-compulsive detective Adrian Monk in the television series "Monk."
-
C.
Gerald McRaney
Gerald McRaney is an American actor best known for his television roles in series such as "Simon & Simon," "Major Dad," and "This Is Us."
-
D.
Donald Faison
Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
-
E.
Andre Braugher
Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e0e8c88190ac6f5786b4d4040f |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae09dca88190a832e1b068252137 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 2:59 a.m.