Triple
T10124551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clear and Present Danger |
E226177
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Harris Yulin |
E717231
|
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: Harris Yulin | Statement: [Clear and Present Danger, stars, Harris Yulin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harris Yulin Context triple: [Clear and Present Danger, stars, Harris Yulin]
-
A.
Harris Yulin
chosen
Harris Yulin is an American character actor known for his prolific film and television career, often portraying authoritative or villainous roles in productions such as Scarface, Ghostbusters II, and Buffy the Vampire Slayer.
-
B.
Fay Chang
Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
-
C.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
-
D.
Connie Chung
Connie Chung is an American broadcast journalist and television news anchor known for her work on major U.S. networks and high-profile interviews.
-
E.
Kim Hourn
Kim Hourn is a Cambodian academic and diplomat best known for serving as Secretary-General of the Association of Southeast Asian Nations (ASEAN).
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ebe4548190a484c145639d92f0 |
completed | April 2, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc5cb62081908f4725de14916c11 |
completed | April 5, 2026, 8:55 p.m. |
Created at: March 30, 2026, 9:05 p.m.