Triple
T16761147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical Center |
E407345
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | James Daly |
E355869
|
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: James Daly | Statement: [Medical Center, portrayedBy, James Daly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Daly Context triple: [Medical Center, portrayedBy, James Daly]
-
A.
James Daly
chosen
James Daly was an American actor known for his work in television and film during the mid-20th century, including roles on series like "Medical Center."
-
B.
James Daly
James Daly is a British Conservative Party politician who serves as the Member of Parliament for the Bury North constituency.
-
C.
Jon Daly
Jon Daly is an American comedian and actor known for his work in film and television, including roles in projects like the comedy film "Masterminds."
-
D.
Greg Dowling
Greg Dowling is a former Australian rugby league prop forward best known for his strong performances in the 1980s for club, state, and country.
-
E.
Andrew Daly
Andrew Daly is an American actor and comedian known for his work in television, film, and voice acting, including roles on shows like "Review" and "Eastbound & Down."
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abed67f88190afb1d392ff01a5e7 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c3489848190869bebedcb5c0564 |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 5:21 a.m.