Triple
T17453518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tweez |
E424972
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
“Charlotte”
"Charlotte" is a track by the artist Tweez, likely within the alternative or indie music scene.
|
E1269193
|
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: “Charlotte” | Statement: [Tweez, hasTrack, “Charlotte”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Charlotte” Context triple: [Tweez, hasTrack, “Charlotte”]
-
A.
Carol
Carol is a feminine given name commonly used in English-speaking countries, often associated with figures in entertainment and literature.
-
B.
Carol
Carol is a critically acclaimed 2015 romantic drama film, directed by Todd Haynes and starring Cate Blanchett and Rooney Mara, about a forbidden love affair between two women in 1950s New York.
-
C.
Charlelie
Charlelie is a musical track featured on the album "Gourmandises" by French singer Alizée.
-
D.
Charley
Charley is the poodle who serves as John Steinbeck’s canine companion and narrative foil during his cross-country journey in the travelogue "Travels with Charley: In Search of America."
-
E.
Charley
Charley is a masculine given name, often used as a diminutive of Charles.
- 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: “Charlotte” Triple: [Tweez, hasTrack, “Charlotte”]
Generated description
"Charlotte" is a track by the artist Tweez, likely within the alternative or indie music scene.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Charlotte” Target entity description: "Charlotte" is a track by the artist Tweez, likely within the alternative or indie music scene.
-
A.
Carol
Carol is a feminine given name commonly used in English-speaking countries, often associated with figures in entertainment and literature.
-
B.
Carol
Carol is a critically acclaimed 2015 romantic drama film, directed by Todd Haynes and starring Cate Blanchett and Rooney Mara, about a forbidden love affair between two women in 1950s New York.
-
C.
Charlelie
Charlelie is a musical track featured on the album "Gourmandises" by French singer Alizée.
-
D.
Charley
Charley is the poodle who serves as John Steinbeck’s canine companion and narrative foil during his cross-country journey in the travelogue "Travels with Charley: In Search of America."
-
E.
Charley
Charley is a masculine given name, often used as a diminutive of Charles.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451406c748190b5ac6aacff7a3cc7 |
completed | April 19, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01affed0908190a1bf9ac851485d1a |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b0a265348190a884a58f3caf54df |
completed | May 11, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b1b0553c8190bb76969fe95154ff |
completed | May 11, 2026, 10:38 a.m. |
Created at: April 10, 2026, 5:47 a.m.