Triple
T21119475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pêpê Rapazote |
E520388
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Blood Ties
Blood Ties is a Portuguese crime drama television series centered on complex family relationships, betrayal, and the criminal underworld.
|
E1468006
|
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: Blood Ties | Statement: [Pêpê Rapazote, notableWork, Blood Ties]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blood Ties Context triple: [Pêpê Rapazote, notableWork, Blood Ties]
-
A.
Blood Ties
Blood Ties is a 2013 crime drama film directed by Guillaume Canet that follows two brothers on opposite sides of the law in 1970s New York.
-
B.
Blood Ties
Blood Ties is a novel by British writer and painter Jennifer Lash, known for its exploration of complex family relationships and emotional entanglements.
-
C.
The Blood Bond
The Blood Bond is an action film featuring Jennifer Blanc in a prominent role.
-
D.
The Blood Line
"The Blood Line" is an episode of the science fiction television series Torchwood, serving as the climactic finale of the "Miracle Day" storyline.
-
E.
Laços de Sangue
Laços de Sangue is a Portuguese telenovela acclaimed for its dramatic storytelling and international recognition, including winning the International Emmy Award for Best Telenovela.
- 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: Blood Ties Triple: [Pêpê Rapazote, notableWork, Blood Ties]
Generated description
Blood Ties is a Portuguese crime drama television series centered on complex family relationships, betrayal, and the criminal underworld.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blood Ties Target entity description: Blood Ties is a Portuguese crime drama television series centered on complex family relationships, betrayal, and the criminal underworld.
-
A.
Blood Ties
Blood Ties is a 2013 crime drama film directed by Guillaume Canet that follows two brothers on opposite sides of the law in 1970s New York.
-
B.
Blood Ties
Blood Ties is a novel by British writer and painter Jennifer Lash, known for its exploration of complex family relationships and emotional entanglements.
-
C.
The Blood Bond
The Blood Bond is an action film featuring Jennifer Blanc in a prominent role.
-
D.
The Blood Line
"The Blood Line" is an episode of the science fiction television series Torchwood, serving as the climactic finale of the "Miracle Day" storyline.
-
E.
Laços de Sangue
Laços de Sangue is a Portuguese telenovela acclaimed for its dramatic storytelling and international recognition, including winning the International Emmy Award for Best Telenovela.
- 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_69e0b50a623881909c0bbaf4f2c055e7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7223176c48190bfbaea41c2209a15 |
completed | April 21, 2026, 7:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0965e7c4e88190acf4e6d4402ccbb0 |
completed | May 17, 2026, 6:53 a.m. |
| NEDg | Description generation | batch_6a09670987f0819086b021581db69c85 |
completed | May 17, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0967cefab08190b01e2c897f081105 |
completed | May 17, 2026, 7:01 a.m. |
Created at: April 16, 2026, 2:55 p.m.