Triple
T15576873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Card Counter |
E374391
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Cirk
Cirk is a troubled young man who becomes entangled with the professional gambler protagonist in the 2021 drama film "The Card Counter."
|
E1164683
|
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: Cirk | Statement: [The Card Counter, featuresCharacter, Cirk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cirk Context triple: [The Card Counter, featuresCharacter, Cirk]
-
A.
Kruhlaye
Kruhlaye is a small town in eastern Belarus, located within the Mogilev Region.
-
B.
Cerchio
Cerchio is a small Italian town in the Abruzzo region, known for its location within the mountainous Sirente-Velino area.
-
C.
Kolo
Kolo is an alternative name for the Ewondo language, a Bantu language spoken primarily in Cameroon.
-
D.
Kolo
Kolo is a town in Ogbia Local Government Area of Bayelsa State in Nigeria, known as one of the communities in the Niger Delta region.
-
E.
Cincars
Cincars are an exonym for the Aromanians, a Romance-speaking ethnic group native to the Balkans.
- 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: Cirk Triple: [The Card Counter, featuresCharacter, Cirk]
Generated description
Cirk is a troubled young man who becomes entangled with the professional gambler protagonist in the 2021 drama film "The Card Counter."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cirk Target entity description: Cirk is a troubled young man who becomes entangled with the professional gambler protagonist in the 2021 drama film "The Card Counter."
-
A.
Kruhlaye
Kruhlaye is a small town in eastern Belarus, located within the Mogilev Region.
-
B.
Cerchio
Cerchio is a small Italian town in the Abruzzo region, known for its location within the mountainous Sirente-Velino area.
-
C.
Kolo
Kolo is an alternative name for the Ewondo language, a Bantu language spoken primarily in Cameroon.
-
D.
Kolo
Kolo is a town in Ogbia Local Government Area of Bayelsa State in Nigeria, known as one of the communities in the Niger Delta region.
-
E.
Cincars
Cincars are an exonym for the Aromanians, a Romance-speaking ethnic group native to the Balkans.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4978ec8190a57de5d9a2ec6653 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d0678648190b61fbe79a60da8ec |
completed | May 9, 2026, 3:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4d9258148190b21201bb09e16999 |
completed | May 9, 2026, 3:06 p.m. |
Created at: April 10, 2026, 4:11 a.m.