Triple
T17016961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinggoy Estrada |
E412845
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Jinggoy
Jinggoy is a Filipino politician and actor, known as the son of former President Joseph Estrada and for serving as a senator of the Philippines.
|
E1246762
|
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: Jinggoy | Statement: [Jinggoy Estrada, nickname, Jinggoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinggoy Context triple: [Jinggoy Estrada, nickname, Jinggoy]
-
A.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
-
B.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
-
C.
Galyang
Galyang is a town in Nepal that serves as one of the local urban centers within Syangja District in the Gandaki Province.
-
D.
Gonga
Gonga is a subgroup of the North Omotic branch of the Afroasiatic language family, comprising several closely related languages spoken in southwestern Ethiopia.
-
E.
Dadiangas
Dadiangas is the former name of General Santos, a major city in the southern Philippines known for its tuna fishing industry.
- 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: Jinggoy Triple: [Jinggoy Estrada, nickname, Jinggoy]
Generated description
Jinggoy is a Filipino politician and actor, known as the son of former President Joseph Estrada and for serving as a senator of the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jinggoy Target entity description: Jinggoy is a Filipino politician and actor, known as the son of former President Joseph Estrada and for serving as a senator of the Philippines.
-
A.
Guanito
Guanito is a rural municipal district within the San Juan de la Maguana municipality in the San Juan Province of the Dominican Republic.
-
B.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
-
C.
Galyang
Galyang is a town in Nepal that serves as one of the local urban centers within Syangja District in the Gandaki Province.
-
D.
Gonga
Gonga is a subgroup of the North Omotic branch of the Afroasiatic language family, comprising several closely related languages spoken in southwestern Ethiopia.
-
E.
Dadiangas
Dadiangas is the former name of General Santos, a major city in the southern Philippines known for its tuna fishing industry.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47fec248190bf261cac920291b1 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4ba2a88190a49d355836ff1dcf |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011d5d720c8190ba6f7146a8a5f7f4 |
completed | May 11, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011dd998888190a60d3880fd5c20c2 |
completed | May 11, 2026, 12:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.