Triple
T14622462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Challengers |
E343257
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Marco Costa
Marco Costa is a film editor known for his work on the tennis drama movie "Challengers."
|
E1110361
|
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: Marco Costa | Statement: [Challengers, editor, Marco Costa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marco Costa Context triple: [Challengers, editor, Marco Costa]
-
A.
Jorge Costa
Jorge Costa is a retired Portuguese central defender and football manager best known for his long and successful playing career with FC Porto and the Portugal national team.
-
B.
Cristiano Travaglioli
Cristiano Travaglioli is an Italian film editor known for his acclaimed collaborations with director Paolo Sorrentino on several award-winning films.
-
C.
Rafael Melo
Rafael Melo is a Brazilian fintech executive best known as the co-founder and former CFO of the cryptocurrency platform Crypto.com.
-
D.
Giovani dos Santos
Giovani dos Santos is a Mexican professional footballer known for his attacking flair and playmaking ability, who has played for clubs such as Barcelona, Tottenham Hotspur, and LA Galaxy as well as the Mexico national team.
-
E.
Jorge Arantes
Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
- 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: Marco Costa Triple: [Challengers, editor, Marco Costa]
Generated description
Marco Costa is a film editor known for his work on the tennis drama movie "Challengers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marco Costa Target entity description: Marco Costa is a film editor known for his work on the tennis drama movie "Challengers."
-
A.
Jorge Costa
Jorge Costa is a retired Portuguese central defender and football manager best known for his long and successful playing career with FC Porto and the Portugal national team.
-
B.
Cristiano Travaglioli
Cristiano Travaglioli is an Italian film editor known for his acclaimed collaborations with director Paolo Sorrentino on several award-winning films.
-
C.
Rafael Melo
Rafael Melo is a Brazilian fintech executive best known as the co-founder and former CFO of the cryptocurrency platform Crypto.com.
-
D.
Giovani dos Santos
Giovani dos Santos is a Mexican professional footballer known for his attacking flair and playmaking ability, who has played for clubs such as Barcelona, Tottenham Hotspur, and LA Galaxy as well as the Mexico national team.
-
E.
Jorge Arantes
Jorge Arantes is a Portuguese former journalist best known as the first husband of author J. K. Rowling.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda9288e748190bf65a01803265a73 |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb27c8db481909330d299faded4f3 |
completed | May 8, 2026, 9:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb3b24320819098dd7fab0c3a0507 |
completed | May 8, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:25 a.m.