Triple
T5230133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASA Astronaut Group 8 |
E118089
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
TFNG
TFNG is the nickname for NASA Astronaut Group 8, the first class of space shuttle-era astronauts selected in 1978, which included the first American women and minority astronauts.
|
E504386
|
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: TFNG | Statement: [NASA Astronaut Group 8, alsoKnownAs, TFNG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TFNG Context triple: [NASA Astronaut Group 8, alsoKnownAs, TFNG]
-
A.
Tfng
Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
-
B.
TFN
TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
-
C.
TF
TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
-
D.
TF
TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
-
E.
.tf
.tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
- 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: TFNG Triple: [NASA Astronaut Group 8, alsoKnownAs, TFNG]
Generated description
TFNG is the nickname for NASA Astronaut Group 8, the first class of space shuttle-era astronauts selected in 1978, which included the first American women and minority astronauts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TFNG Target entity description: TFNG is the nickname for NASA Astronaut Group 8, the first class of space shuttle-era astronauts selected in 1978, which included the first American women and minority astronauts.
-
A.
Tfng
Tfng is the ISO 15924 four-letter code assigned to the Tifinagh script used for writing various Berber (Amazigh) languages.
-
B.
TFN
TFN is the IATA airport code for Tenerife North Airport, a major airport serving the island of Tenerife in Spain’s Canary Islands.
-
C.
TF
TF is the French abbreviation for the Federal Supreme Court of Switzerland, the country’s highest judicial authority.
-
D.
TF
TF is the vehicle registration code used for motor vehicles registered in the Spanish province of Santa Cruz de Tenerife in the Canary Islands.
-
E.
.tf
.tf is the country code top-level domain (ccTLD) designated for the French Southern and Antarctic Lands, an overseas territory of France.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ae006ec8190abd23f650ca5bf53 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef810d6108190b2b2067cce12955b |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef8acecf48190a1d3f56640bf7784 |
completed | March 21, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef92017948190906d1be3551b54c2 |
completed | March 21, 2026, 8:01 p.m. |
Created at: March 20, 2026, 1:48 p.m.