Triple
T23062640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Report |
E574944
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Fajer Kaisi
Fajer Kaisi is an actor known for his work in film and television, including roles in projects such as "The Report."
|
E1567999
|
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: Fajer Kaisi | Statement: [The Report, starring, Fajer Kaisi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fajer Kaisi Context triple: [The Report, starring, Fajer Kaisi]
-
A.
Chakari
Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
-
B.
Aagje
Aagje is a Dutch feminine given name, traditionally used as a diminutive or variant of names like Agatha.
-
C.
Nazarin
Nazarin is a 1959 Spanish-Mexican drama film directed by Luis Buñuel, acclaimed for its exploration of faith, morality, and social injustice.
-
D.
Kissam
Kissam is a surname of English origin borne by various individuals, including members of prominent American families in the 19th century.
-
E.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
- 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: Fajer Kaisi Triple: [The Report, starring, Fajer Kaisi]
Generated description
Fajer Kaisi is an actor known for his work in film and television, including roles in projects such as "The Report."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fajer Kaisi Target entity description: Fajer Kaisi is an actor known for his work in film and television, including roles in projects such as "The Report."
-
A.
Chakari
Chakari is a small mining and agricultural town located in the Mashonaland West Province of Zimbabwe.
-
B.
Aagje
Aagje is a Dutch feminine given name, traditionally used as a diminutive or variant of names like Agatha.
-
C.
Nazarin
Nazarin is a 1959 Spanish-Mexican drama film directed by Luis Buñuel, acclaimed for its exploration of faith, morality, and social injustice.
-
D.
Kissam
Kissam is a surname of English origin borne by various individuals, including members of prominent American families in the 19th century.
-
E.
Zarganar
Zarganar is a prominent Burmese comedian, actor, and dissident known for his sharp political satire and repeated imprisonments under Myanmar’s military regimes.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a0c3c881909f137ad511c216ac |
completed | April 29, 2026, 4:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae8b98881909915a157f54762d7 |
completed | May 19, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a0c0b7fe7848190a8e27b09748b735e |
completed | May 19, 2026, 7:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0bf256688190b169657a7831f6d0 |
completed | May 19, 2026, 7:06 a.m. |
Created at: April 17, 2026, 3:55 p.m.