Triple
T8415994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Effie Awards |
E198730
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Effies
Effies are prestigious marketing and advertising awards that honor campaigns for their effectiveness in achieving real business results.
|
E733020
|
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: Effies | Statement: [Effie Awards, alsoKnownAs, Effies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Effies Context triple: [Effie Awards, alsoKnownAs, Effies]
-
A.
Fillion
Fillion is the surname of Canadian-American actor Nathan Fillion, best known for his leading roles in the television series "Firefly" and "Castle."
-
B.
Ceci
Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
-
C.
Framji Petit
Framji Petit was a prominent member of the influential Petit family, known for their role in Bombay’s industrial, philanthropic, and social life during the British colonial era.
-
D.
Marcel
Marcel is a masculine given name of French origin, commonly used in various European countries.
-
E.
Marcel
Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
- 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: Effies Triple: [Effie Awards, alsoKnownAs, Effies]
Generated description
Effies are prestigious marketing and advertising awards that honor campaigns for their effectiveness in achieving real business results.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Effies Target entity description: Effies are prestigious marketing and advertising awards that honor campaigns for their effectiveness in achieving real business results.
-
A.
Fillion
Fillion is the surname of Canadian-American actor Nathan Fillion, best known for his leading roles in the television series "Firefly" and "Castle."
-
B.
Ceci
Ceci is a given name or nickname, typically used as a shortened, informal form of the name Cecilia.
-
C.
Framji Petit
Framji Petit was a prominent member of the influential Petit family, known for their role in Bombay’s industrial, philanthropic, and social life during the British colonial era.
-
D.
Marcel
Marcel is a masculine given name of French origin, commonly used in various European countries.
-
E.
Marcel
Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c5121081908efa3eca25406d3a |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce0333a3488190ba30d03b1d7bacb1 |
completed | April 2, 2026, 5:48 a.m. |
| NEDg | Description generation | batch_69ce0781859c8190bb92f41c00af459b |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce089d09c08190ba321aed4044a862 |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:06 p.m.