Triple
T19165840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carly Chaikin |
E469177
|
entity |
| Predicate | hasPartIn |
P10186
|
FINISHED |
| Object |
Bad Blood (film)
Bad Blood is a thriller film featuring Carly Chaikin in a prominent role, centered on dark family secrets and deadly consequences.
|
E1361454
|
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: Bad Blood (film) | Statement: [Carly Chaikin, hasPartIn, Bad Blood (film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Blood (film) Context triple: [Carly Chaikin, hasPartIn, Bad Blood (film)]
-
A.
Bad Blood
"Bad Blood" is a 2015 pop song by Taylor Swift, best known for its high-profile remix featuring Kendrick Lamar and its star-studded, cinematic music video.
-
B.
Bad Blood
"Bad Blood" is a song recorded by the American R&B/rock and roll group The Coasters.
-
C.
Young Blood
"Young Blood" is a reflective, piano-led ballad by English singer Sophie Ellis-Bextor that showcases a more mature, emotional side of her music.
-
D.
Young Blood
"Young Blood" is a classic rhythm and blues song from the 1950s, best known in its hit version by The Coasters and widely covered in rock and roll history.
-
E.
Bloody Well Right
"Bloody Well Right" is a popular 1974 rock song by the British band Supertramp, known for its distinctive electric piano riff and cynical lyrics about social class and education.
- 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: Bad Blood (film) Triple: [Carly Chaikin, hasPartIn, Bad Blood (film)]
Generated description
Bad Blood is a thriller film featuring Carly Chaikin in a prominent role, centered on dark family secrets and deadly consequences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bad Blood (film) Target entity description: Bad Blood is a thriller film featuring Carly Chaikin in a prominent role, centered on dark family secrets and deadly consequences.
-
A.
Bad Blood
"Bad Blood" is a 2015 pop song by Taylor Swift, best known for its high-profile remix featuring Kendrick Lamar and its star-studded, cinematic music video.
-
B.
Bad Blood
"Bad Blood" is a song recorded by the American R&B/rock and roll group The Coasters.
-
C.
Young Blood
"Young Blood" is a reflective, piano-led ballad by English singer Sophie Ellis-Bextor that showcases a more mature, emotional side of her music.
-
D.
Young Blood
"Young Blood" is a classic rhythm and blues song from the 1950s, best known in its hit version by The Coasters and widely covered in rock and roll history.
-
E.
Bloody Well Right
"Bloody Well Right" is a popular 1974 rock song by the British band Supertramp, known for its distinctive electric piano riff and cynical lyrics about social class and education.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15ee064819087f9fd822236298f |
completed | April 20, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f25ef2208190842d2b29bee2c8ce |
completed | May 15, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_6a06f3864b848190bcc76953e1a261f3 |
completed | May 15, 2026, 10:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06f4199a588190943d3d45536a228c |
completed | May 15, 2026, 10:23 a.m. |
Created at: April 10, 2026, 12:06 p.m.