Triple
T14019106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Roe |
E337279
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sweet Pea
"Sweet Pea" is a 1966 pop song by American singer Tommy Roe, known for its catchy, upbeat melody and bubblegum pop style.
|
E1076328
|
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: Sweet Pea | Statement: [Tommy Roe, notableWork, Sweet Pea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sweet Pea Context triple: [Tommy Roe, notableWork, Sweet Pea]
-
A.
Sweet Pea
Sweet Pea is the ring nickname of Pernell Whitaker, an American boxing legend widely regarded as one of the greatest defensive fighters in the sport’s history.
-
B.
Sweetpea
Sweetpea is the adorable infant character from the Popeye cartoon series, often portrayed as being under Popeye's care and occasionally displaying surprising abilities.
-
C.
Pansy
Pansy is a small unincorporated community located in Crosby County in the U.S. state of Texas.
-
D.
Phlox
Phlox is the Denobulan chief medical officer aboard the starship Enterprise in the television series "Star Trek: Enterprise."
-
E.
Snowbell
Snowbell is the sardonic pet cat in the "Stuart Little" series, known for his humorous love-hate relationship with the mouse protagonist.
- 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: Sweet Pea Triple: [Tommy Roe, notableWork, Sweet Pea]
Generated description
"Sweet Pea" is a 1966 pop song by American singer Tommy Roe, known for its catchy, upbeat melody and bubblegum pop style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sweet Pea Target entity description: "Sweet Pea" is a 1966 pop song by American singer Tommy Roe, known for its catchy, upbeat melody and bubblegum pop style.
-
A.
Sweet Pea
Sweet Pea is the ring nickname of Pernell Whitaker, an American boxing legend widely regarded as one of the greatest defensive fighters in the sport’s history.
-
B.
Sweetpea
Sweetpea is the adorable infant character from the Popeye cartoon series, often portrayed as being under Popeye's care and occasionally displaying surprising abilities.
-
C.
Pansy
Pansy is a small unincorporated community located in Crosby County in the U.S. state of Texas.
-
D.
Phlox
Phlox is the Denobulan chief medical officer aboard the starship Enterprise in the television series "Star Trek: Enterprise."
-
E.
Snowbell
Snowbell is the sardonic pet cat in the "Stuart Little" series, known for his humorous love-hate relationship with the mouse protagonist.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32d77108190b038e8a750738439 |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc43e28e288190827925f45b942959 |
completed | May 7, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:19 p.m.