Triple
T4329917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Football Night in America |
E96721
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
FNIA
FNIA is the commonly used acronym for "Football Night in America," NBC's flagship Sunday night NFL pregame show and broadcast.
|
E431747
|
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: FNIA | Statement: [Football Night in America, alsoKnownAs, FNIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNIA Context triple: [Football Night in America, alsoKnownAs, FNIA]
-
A.
NIA
NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
-
B.
NIA
NIA is India’s premier federal counter-terrorism and national security investigation agency.
-
C.
FIO
FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
-
D.
FNC
FNC is the IATA airport code for Cristiano Ronaldo Madeira International Airport, the main air gateway to Portugal’s Madeira Island.
-
E.
FIAS
FIAS is the international governing body responsible for overseeing and promoting the combat sport of sambo worldwide.
- 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: FNIA Triple: [Football Night in America, alsoKnownAs, FNIA]
Generated description
FNIA is the commonly used acronym for "Football Night in America," NBC's flagship Sunday night NFL pregame show and broadcast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FNIA Target entity description: FNIA is the commonly used acronym for "Football Night in America," NBC's flagship Sunday night NFL pregame show and broadcast.
-
A.
NIA
NIA is India’s premier federal counter-terrorism and national security investigation agency.
-
B.
NIA
NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
-
C.
FIO
FIO is the acronym for the Federal Insurance Office, a U.S. Treasury Department agency that monitors the insurance industry and advises on national and international insurance policy.
-
D.
NFNA
NFNA is the ICAO airport code assigned to Nausori International Airport in Fiji.
-
E.
FNC
FNC is the IATA airport code for Cristiano Ronaldo Madeira International Airport, the main air gateway to Portugal’s Madeira Island.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3513545fc81909e29de7eae1829f7 |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09bf304819084fc1b9162c8b48a |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d48a56f881909cc75f45d87c8151 |
completed | March 14, 2026, 9:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d4f99ff08190957b46cd84954f79 |
completed | March 14, 2026, 9:36 p.m. |
Created at: March 12, 2026, 11:13 p.m.