Triple
T19028917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PNoy |
E465682
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | PNoy |
—
|
NE NERFINISHED |
How this triple was built (2 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: PNoy | Statement: [PNoy, nickname, PNoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNoy Context triple: [PNoy, nickname, PNoy]
-
A.
PNoy
chosen
PNoy is the popular nickname of Benigno S. Aquino III, the 15th President of the Philippines and son of democracy icons Benigno "Ninoy" Aquino Jr. and Corazon Aquino.
-
B.
Pataki
Pataki is the surname of George Pataki, the former three-term Republican governor of New York.
-
C.
Shibu Soren
Shibu Soren is an Indian politician and prominent Jharkhand Mukti Morcha leader who has served multiple terms as Chief Minister of Jharkhand and played a key role in the movement for the state's creation.
-
D.
Koiso
Koiso is a Japanese surname most notably borne by Kuniaki Koiso, a general and politician who served as Prime Minister of Japan during World War II.
-
E.
Nayib
Nayib is the given name of Nayib Bukele, the President of El Salvador known for his controversial, tech-focused and hardline governance style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 12:02 p.m.