Triple
T14808962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitty Schram |
E348121
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Chasers
Chasers is a 1994 American comedy film about two Navy sailors escorting a female prisoner across the country, directed by Dennis Hopper.
|
E1120348
|
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: Chasers | Statement: [Bitty Schram, appearedIn, Chasers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chasers Context triple: [Bitty Schram, appearedIn, Chasers]
-
A.
Straight, No Chaser
Straight, No Chaser is a celebrated jazz composition by Thelonious Monk, known for its blues structure, angular melody, and enduring status as a bebop standard.
-
B.
What’s Chasing You
"What’s Chasing You" is a soulful, retro-tinged indie song by New Zealand singer-songwriter Marlon Williams, known for its haunting vocals and cinematic, country-influenced sound.
-
C.
Chasin’ Ladies
"Chasin’ Ladies" is a song by the band Dust, known for its gritty early-1970s hard rock sound.
-
D.
Chasing the Night
"Chasing the Night" is a song by the American punk rock band Ramones from their 1984 album *Too Tough to Die*.
-
E.
Chasing Cars
"Chasing Cars" is a widely acclaimed alternative rock ballad by the band Snow Patrol, known for its emotional lyrics and prominent use in television and film soundtracks.
- 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: Chasers Triple: [Bitty Schram, appearedIn, Chasers]
Generated description
Chasers is a 1994 American comedy film about two Navy sailors escorting a female prisoner across the country, directed by Dennis Hopper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chasers Target entity description: Chasers is a 1994 American comedy film about two Navy sailors escorting a female prisoner across the country, directed by Dennis Hopper.
-
A.
Straight, No Chaser
Straight, No Chaser is a celebrated jazz composition by Thelonious Monk, known for its blues structure, angular melody, and enduring status as a bebop standard.
-
B.
What’s Chasing You
"What’s Chasing You" is a soulful, retro-tinged indie song by New Zealand singer-songwriter Marlon Williams, known for its haunting vocals and cinematic, country-influenced sound.
-
C.
Chasin’ Ladies
"Chasin’ Ladies" is a song by the band Dust, known for its gritty early-1970s hard rock sound.
-
D.
Chasing the Night
"Chasing the Night" is a song by the American punk rock band Ramones from their 1984 album *Too Tough to Die*.
-
E.
Chasing Cars
"Chasing Cars" is a widely acclaimed alternative rock ballad by the band Snow Patrol, known for its emotional lyrics and prominent use in television and film soundtracks.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe28222dc48190bca61ea273172950 |
completed | May 8, 2026, 6:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe28ba11a4819092e13669c53e6ecd |
completed | May 8, 2026, 6:17 p.m. |
Created at: April 10, 2026, 1:45 a.m.