Triple
T19060546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kris Aquino |
E466517
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sukob
Sukob is a 2006 Filipino horror film, widely recognized as one of Kris Aquino’s most popular and successful movies.
|
E1355626
|
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: Sukob | Statement: [Kris Aquino, notableWork, Sukob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukob Context triple: [Kris Aquino, notableWork, Sukob]
-
A.
Kisukuma
Kisukuma is a Bantu language spoken primarily by the Sukuma people in northern Tanzania.
-
B.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
C.
Kawul
Kawul is an alternative transliteration of the name "Kaul," a surname and community name commonly associated with Kashmiri Pandits from the Kashmir region of the Indian subcontinent.
-
D.
Surobi
Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
-
E.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
- 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: Sukob Triple: [Kris Aquino, notableWork, Sukob]
Generated description
Sukob is a 2006 Filipino horror film, widely recognized as one of Kris Aquino’s most popular and successful movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sukob Target entity description: Sukob is a 2006 Filipino horror film, widely recognized as one of Kris Aquino’s most popular and successful movies.
-
A.
Kisukuma
Kisukuma is a Bantu language spoken primarily by the Sukuma people in northern Tanzania.
-
B.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
C.
Kawul
Kawul is an alternative transliteration of the name "Kaul," a surname and community name commonly associated with Kashmiri Pandits from the Kashmir region of the Indian subcontinent.
-
D.
Surobi
Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
-
E.
Shabara
Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc0910088190b042095937b202a8 |
completed | April 20, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c55dec9881908d56c270e538463d |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c66f7efc8190859bf4ca53012d1d |
completed | May 14, 2026, 12:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c6f11fd88190be6fd8c235e3d269 |
completed | May 14, 2026, 12:58 p.m. |
Created at: April 10, 2026, 12:03 p.m.