Triple
T15595754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapestry |
E374886
|
entity |
| Predicate | featuresMusician |
P20942
|
FINISHED |
| Object |
Abigale Haness
Abigale Haness is a musician known for her work featured on the music platform Tapestry.
|
E1167146
|
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: Abigale Haness | Statement: [Tapestry, featuresMusician, Abigale Haness]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abigale Haness Context triple: [Tapestry, featuresMusician, Abigale Haness]
-
A.
Martha Brewster
Martha Brewster is one of the eccentric, sweetly homicidal elderly aunts in Joseph Kesselring’s dark comedy play "Arsenic and Old Lace."
-
B.
Mildred
Mildred is the sharp-tongued, loyal housekeeper and assistant to the titular couple in the 1970s television crime drama "McMillan & Wife."
-
C.
Mildred
Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
-
D.
Jane Hopper
Jane Hopper is the birth name and legal identity of Eleven, the telekinetic girl central to the Netflix series "Stranger Things."
-
E.
Lillian Langdon
Lillian Langdon was an American silent film actress active in the early 20th century, known for her character roles in numerous dramas and melodramas.
- 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: Abigale Haness Triple: [Tapestry, featuresMusician, Abigale Haness]
Generated description
Abigale Haness is a musician known for her work featured on the music platform Tapestry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abigale Haness Target entity description: Abigale Haness is a musician known for her work featured on the music platform Tapestry.
-
A.
Martha Brewster
Martha Brewster is one of the eccentric, sweetly homicidal elderly aunts in Joseph Kesselring’s dark comedy play "Arsenic and Old Lace."
-
B.
Mildred
Mildred is the sharp-tongued, loyal housekeeper and assistant to the titular couple in the 1970s television crime drama "McMillan & Wife."
-
C.
Mildred
Mildred is a feminine given name of English origin that became especially popular in the late 19th and early 20th centuries.
-
D.
Jane Hopper
Jane Hopper is the birth name and legal identity of Eleven, the telekinetic girl central to the Netflix series "Stranger Things."
-
E.
Lillian Langdon
Lillian Langdon was an American silent film actress active in the early 20th century, known for her character roles in numerous dramas and melodramas.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ca72ec8190a237db843dc6d625 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58a93fb481908cedf981caf1bb23 |
completed | May 9, 2026, 3:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff59718048819086a1d0ba773e9a92 |
completed | May 9, 2026, 3:57 p.m. |
Created at: April 10, 2026, 4:12 a.m.