Triple
T19028868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noynoy |
E465681
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Noynoy |
—
|
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: Noynoy | Statement: [Noynoy, nickname, Noynoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noynoy Context triple: [Noynoy, nickname, Noynoy]
-
A.
Noynoy
chosen
Noynoy is the popular nickname of Benigno S. Aquino III, the 15th President of the Philippines and a prominent Filipino political figure.
-
B.
Camille Montes
Camille Montes is a Bolivian intelligence agent and Bond girl in the James Bond film "Quantum of Solace," driven by a personal vendetta against the dictator who murdered her family.
-
C.
Vhong Navarro
Vhong Navarro is a Filipino comedian, actor, dancer, and television host best known as a longtime mainstay of the noontime variety show "It's Showtime."
-
D.
Koko Pimentel
Koko Pimentel is a Filipino lawyer and politician who has served as a senator and former Senate President of the Philippines.
-
E.
Josie de Guzman
Josie de Guzman is an American actress best known for her work on stage and screen, including notable performances on Broadway and in television dramas.
- 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.