Triple
T18683057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darangen |
E456782
|
entity |
| Predicate | mainHero |
P36250
|
FINISHED |
| Object |
Bantugan
Bantugan is the legendary warrior-prince and central hero of the Maranao epic Darangen from the Philippines.
|
E1337414
|
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: Bantugan | Statement: [Darangen, mainHero, Bantugan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bantugan Context triple: [Darangen, mainHero, Bantugan]
-
A.
Bungsuan
Bungsuan is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
B.
Babatngon
Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
-
C.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
-
D.
Bulagaan
Bulagaan is a long-running comedy and parody sketch segment on the Philippine noontime variety show "Eat Bulaga!" known for its classroom-themed gags and satirical performances.
-
E.
Talugtug
Talugtug is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines.
- 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: Bantugan Triple: [Darangen, mainHero, Bantugan]
Generated description
Bantugan is the legendary warrior-prince and central hero of the Maranao epic Darangen from the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bantugan Target entity description: Bantugan is the legendary warrior-prince and central hero of the Maranao epic Darangen from the Philippines.
-
A.
Bungsuan
Bungsuan is a barangay (village-level administrative division) of the municipality of Dumalag in the province of Capiz, Philippines.
-
B.
Babatngon
Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
-
C.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
-
D.
Bulagaan
Bulagaan is a long-running comedy and parody sketch segment on the Philippine noontime variety show "Eat Bulaga!" known for its classroom-themed gags and satirical performances.
-
E.
Talugtug
Talugtug is a landlocked agricultural municipality in the province of Nueva Ecija in the Philippines.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2abf3c8190958c03066b5814af |
completed | April 19, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a052358206c81908fd07af6b2911400 |
completed | May 14, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a05246d04408190995d7e34f6662011 |
completed | May 14, 2026, 1:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0524eced608190a1b3468f6d0189c2 |
completed | May 14, 2026, 1:27 a.m. |
Created at: April 10, 2026, 11:49 a.m.