Triple
T18289782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WAMPAS Baby Star |
E438080
|
entity |
| Predicate | organizerAbbreviation |
P3613
|
FINISHED |
| Object |
WAMPAS
WAMPAS was a trade association of American motion picture advertisers best known for promoting young actresses through its annual "Baby Stars" publicity campaign in the 1920s and early 1930s.
|
E1316708
|
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: WAMPAS | Statement: [WAMPAS Baby Star, organizerAbbreviation, WAMPAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAMPAS Context triple: [WAMPAS Baby Star, organizerAbbreviation, WAMPAS]
-
A.
WAMM
WAMM is the ICAO airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
-
B.
WAMM
WAMM is the abbreviation for the World Association of the Major Metropolises, an international organization that brings together and represents the interests of the world’s largest cities.
-
C.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
-
D.
WAML
WAML is the ICAO airport code for Mutiara SIS Al-Jufrie Airport in Palu, Central Sulawesi, Indonesia.
-
E.
Wapse
Wapse is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
- 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: WAMPAS Triple: [WAMPAS Baby Star, organizerAbbreviation, WAMPAS]
Generated description
WAMPAS was a trade association of American motion picture advertisers best known for promoting young actresses through its annual "Baby Stars" publicity campaign in the 1920s and early 1930s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WAMPAS Target entity description: WAMPAS was a trade association of American motion picture advertisers best known for promoting young actresses through its annual "Baby Stars" publicity campaign in the 1920s and early 1930s.
-
A.
WAMM
WAMM is the ICAO airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
-
B.
WAMM
WAMM is the abbreviation for the World Association of the Major Metropolises, an international organization that brings together and represents the interests of the world’s largest cities.
-
C.
WAMO
WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
-
D.
WAML
WAML is the ICAO airport code for Mutiara SIS Al-Jufrie Airport in Palu, Central Sulawesi, Indonesia.
-
E.
Wapse
Wapse is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fd65888190afdbb29dc60066af |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb5612448190a72548b7dd7c3dc7 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bbfa0da481908bb0e388dcbe9913 |
completed | May 12, 2026, 11:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bd6078b88190887a32099fc31db0 |
completed | May 12, 2026, 11:53 p.m. |
Created at: April 10, 2026, 10:35 a.m.