Triple
T15711225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song Kang-ho |
E380840
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | Thirst |
E777464
|
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: Thirst | Statement: [Song Kang-ho, starredIn, Thirst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thirst Context triple: [Song Kang-ho, starredIn, Thirst]
-
A.
Thirst
chosen
Thirst is a 2009 South Korean horror-drama film directed by Park Chan-wook that follows a priest-turned-vampire struggling with faith, desire, and morality.
-
B.
Thirsty
"Thirsty" is a song by indie rock band The National from their early album "Sad Songs for Dirty Lovers."
-
C.
Properties of Thirst
Properties of Thirst is a historical novel by Marianne Wiggins that explores family, identity, and injustice in World War II–era America, particularly around the Japanese American internment camps.
-
D.
Drinkwater
Drinkwater is an English surname of likely occupational or descriptive origin, borne by various notable individuals in British history and culture.
-
E.
Mezdra
Mezdra is a small town in northwestern Bulgaria known as a key railway junction and its location in the scenic Iskar River Gorge.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f22fc88190820ecb171041136d |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:45 a.m.