Triple
T19028884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noynoy |
E465681
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Benigno
Benigno is a male given name notably borne by several Filipino political figures, including former president Benigno "Noynoy" Aquino III.
|
E1359630
|
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: Benigno | Statement: [Noynoy, givenName, Benigno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benigno Context triple: [Noynoy, givenName, Benigno]
-
A.
Quirino
Quirino is a rural municipality in the Philippine province of Ilocos Sur, known for its agricultural landscape and small-town communities.
-
B.
Quirino
Quirino is a landlocked province in the Cagayan Valley region of the Philippines known for its mountainous terrain, caves, and eco-tourism attractions.
-
C.
Guillermo Apolinario Vilas
Guillermo Apolinario Vilas is an Argentine former professional tennis player renowned for his clay-court dominance in the 1970s and multiple Grand Slam titles.
-
D.
Diosdado
Diosdado is a Filipino given name most prominently associated with Diosdado Macapagal, the ninth President of the Philippines.
-
E.
Teodoro
Teodoro is a given name, commonly used in Romance-language countries, that corresponds to the English name Theodore.
- 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: Benigno Triple: [Noynoy, givenName, Benigno]
Generated description
Benigno is a male given name notably borne by several Filipino political figures, including former president Benigno "Noynoy" Aquino III.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benigno Target entity description: Benigno is a male given name notably borne by several Filipino political figures, including former president Benigno "Noynoy" Aquino III.
-
A.
Quirino
Quirino is a rural municipality in the Philippine province of Ilocos Sur, known for its agricultural landscape and small-town communities.
-
B.
Quirino
Quirino is a landlocked province in the Cagayan Valley region of the Philippines known for its mountainous terrain, caves, and eco-tourism attractions.
-
C.
Guillermo Apolinario Vilas
Guillermo Apolinario Vilas is an Argentine former professional tennis player renowned for his clay-court dominance in the 1970s and multiple Grand Slam titles.
-
D.
Diosdado
Diosdado is a Filipino given name most prominently associated with Diosdado Macapagal, the ninth President of the Philippines.
-
E.
Teodoro
Teodoro is a given name, commonly used in Romance-language countries, that corresponds to the English name Theodore.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73ec9088190a98e214bd56e8622 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e65f24288190b2fd173f51edf669 |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e7e3af4c8190b164995bcc7e513f |
completed | May 14, 2026, 3:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e835933881909f8032b08bd4d392 |
completed | May 14, 2026, 3:20 p.m. |
Created at: April 10, 2026, 12:02 p.m.