Triple
T16193670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls5eva |
E393004
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Daniel Breaker
Daniel Breaker is an American actor and comedian best known for his work on Broadway and in television comedies.
|
E1198513
|
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: Daniel Breaker | Statement: [Girls5eva, hasCastMember, Daniel Breaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Breaker Context triple: [Girls5eva, hasCastMember, Daniel Breaker]
-
A.
Peppard
Peppard is a surname most notably associated with American actor George Peppard, known for roles in film and television such as "Breakfast at Tiffany's" and "The A-Team."
-
B.
Knightwick
Knightwick is a small rural village in Worcestershire, England, situated near the River Teme and the Malvern Hills.
-
C.
Puckman
Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
-
D.
Jean Speegle
Jean Speegle was an American character actress known for her work in film and television and as the mother of director Ron Howard.
-
E.
Spellman
Spellman is a surname most notably associated with Francis Spellman, a prominent 20th-century American cardinal of the Roman Catholic Church.
- 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: Daniel Breaker Triple: [Girls5eva, hasCastMember, Daniel Breaker]
Generated description
Daniel Breaker is an American actor and comedian best known for his work on Broadway and in television comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Breaker Target entity description: Daniel Breaker is an American actor and comedian best known for his work on Broadway and in television comedies.
-
A.
Peppard
Peppard is a surname most notably associated with American actor George Peppard, known for roles in film and television such as "Breakfast at Tiffany's" and "The A-Team."
-
B.
Knightwick
Knightwick is a small rural village in Worcestershire, England, situated near the River Teme and the Malvern Hills.
-
C.
Puckman
Puckman is the ice hockey–themed mascot representing Rensselaer Polytechnic Institute’s athletic teams.
-
D.
Jean Speegle
Jean Speegle was an American character actress known for her work in film and television and as the mother of director Ron Howard.
-
E.
Spellman
Spellman is a surname most notably associated with Francis Spellman, a prominent 20th-century American cardinal of the Roman Catholic Church.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d74d788190a637fdb9b4f184b9 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0bfd08819083afc4bea1b99aad |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0001b815c481908ed6fcaea42ee9fc |
completed | May 10, 2026, 3:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0002106a5c8190b92d27f01178a321 |
completed | May 10, 2026, 3:57 a.m. |
Created at: April 10, 2026, 5:02 a.m.