Triple
T15437152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiss of the Dragon |
E369793
|
entity |
| Predicate | hasTagline |
P7688
|
FINISHED |
| Object |
"Kiss Fear Goodbye"
"Kiss Fear Goodbye" is the promotional tagline for the action film *Kiss of the Dragon*, emphasizing its intense, fear-defying martial arts action.
|
E1157957
|
NE FINISHED |
How this triple was built (4 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: "Kiss Fear Goodbye" | Statement: [Kiss of the Dragon, hasTagline, "Kiss Fear Goodbye"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Kiss Fear Goodbye" Context triple: [Kiss of the Dragon, hasTagline, "Kiss Fear Goodbye"]
-
A.
Kiss Your Past Good-Bye
"Kiss Your Past Good-Bye" is a rock song by Aerosmith from their 1997 album Nine Lives.
-
B.
A Kiss
"A Kiss" is a song by the hip hop duo Bad Meets Evil, featured on their 2011 EP *Hell: The Sequel*.
-
C.
Kiss Them for Me
"Kiss Them for Me" is a 1957 romantic comedy film about three Navy pilots on shore leave in San Francisco, starring Cary Grant and Jayne Mansfield.
-
D.
This Kiss
"This Kiss" is a 1998 country-pop song by Faith Hill that became one of her signature crossover hits, known for its catchy melody and romantic lyrics.
-
E.
Kiss the Girls
"Kiss the Girls" is a bestselling crime thriller novel by James Patterson featuring detective Alex Cross as he hunts a pair of serial kidnappers and killers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: "Kiss Fear Goodbye" Triple: [Kiss of the Dragon, hasTagline, "Kiss Fear Goodbye"]
Generated description
"Kiss Fear Goodbye" is the promotional tagline for the action film *Kiss of the Dragon*, emphasizing its intense, fear-defying martial arts action.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Kiss Fear Goodbye" Target entity description: "Kiss Fear Goodbye" is the promotional tagline for the action film *Kiss of the Dragon*, emphasizing its intense, fear-defying martial arts action.
-
A.
Kiss Your Past Good-Bye
"Kiss Your Past Good-Bye" is a rock song by Aerosmith from their 1997 album Nine Lives.
-
B.
A Kiss
"A Kiss" is a song by the hip hop duo Bad Meets Evil, featured on their 2011 EP *Hell: The Sequel*.
-
C.
Kiss Them for Me
"Kiss Them for Me" is a 1957 romantic comedy film about three Navy pilots on shore leave in San Francisco, starring Cary Grant and Jayne Mansfield.
-
D.
This Kiss
"This Kiss" is a 1998 country-pop song by Faith Hill that became one of her signature crossover hits, known for its catchy melody and romantic lyrics.
-
E.
Kiss the Girls
"Kiss the Girls" is a bestselling crime thriller novel by James Patterson featuring detective Alex Cross as he hunts a pair of serial kidnappers and killers.
- F. None of above. chosen
Provenance (5 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edca064819081510bf303271062 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a7d44481909a26b5cc331a3259 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff23348a448190a2a2953a18b29aaf |
completed | May 9, 2026, 12:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff240af68c8190af88834d97a42afb |
completed | May 9, 2026, 12:09 p.m. |
Created at: April 10, 2026, 3:21 a.m.