Triple
T20174136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMA3: What You Need to Know |
E492043
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | GMA3: WYNK |
—
|
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: GMA3: WYNK | Statement: [GMA3: What You Need to Know, alsoKnownAs, GMA3: WYNK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMA3: WYNK Context triple: [GMA3: What You Need to Know, alsoKnownAs, GMA3: WYNK]
-
A.
GMA3: What You Need to Know
chosen
GMA3: What You Need to Know is an American daytime news and talk program that offers a mix of current events, human-interest stories, and lifestyle segments as part of the Good Morning America franchise.
-
B.
GMA3 (formerly Strahan, Sara and Keke)
GMA3 (formerly Strahan, Sara and Keke) is a daytime spin-off of ABC’s Good Morning America that blends news, lifestyle segments, and celebrity interviews in a more informal talk-show format.
-
C.
GMA Day
GMA Day was a daytime talk show spin-off of ABC’s Good Morning America that served as the predecessor to Strahan, Sara and Keke.
-
D.
GMAZ
GMAZ is the ICAO airport code for Zagora Airport in Morocco.
-
E.
GMA Network Center
GMA Network Center is the main headquarters and broadcast complex of GMA Network in Quezon City, Philippines, housing its television, radio, and film production operations.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684a33688190b22cfc16907e76bc |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:36 p.m.