Triple
T1786017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiona Apple |
E39393
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fetch the Bolt Cutters
Fetch the Bolt Cutters is a critically acclaimed 2020 studio album by American singer-songwriter Fiona Apple, celebrated for its experimental production, raw emotional intensity, and feminist themes.
|
E198276
|
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: Fetch the Bolt Cutters | Statement: [Fiona Apple, notableWork, Fetch the Bolt Cutters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fetch the Bolt Cutters Context triple: [Fiona Apple, notableWork, Fetch the Bolt Cutters]
-
A.
Bolts
Bolts is the popular nickname for the Tampa Bay Lightning, a professional ice hockey team in the National Hockey League.
-
B.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
C.
Bowles
Bowles is a surname most prominently associated with Erskine Bowles, an American businessman and former White House Chief of Staff.
-
D.
Bowles
Bowles is the middle name of Lester B. Pearson, the Canadian diplomat and prime minister who won the Nobel Peace Prize.
-
E.
Boilermakers
Boilermakers is the nickname for Purdue University's athletic teams and, more broadly, a moniker for the university’s students and alumni.
- 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: Fetch the Bolt Cutters Triple: [Fiona Apple, notableWork, Fetch the Bolt Cutters]
Generated description
Fetch the Bolt Cutters is a critically acclaimed 2020 studio album by American singer-songwriter Fiona Apple, celebrated for its experimental production, raw emotional intensity, and feminist themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fetch the Bolt Cutters Target entity description: Fetch the Bolt Cutters is a critically acclaimed 2020 studio album by American singer-songwriter Fiona Apple, celebrated for its experimental production, raw emotional intensity, and feminist themes.
-
A.
Bolts
Bolts is the popular nickname for the Tampa Bay Lightning, a professional ice hockey team in the National Hockey League.
-
B.
BOL
BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
-
C.
Bowles
Bowles is a surname most prominently associated with Erskine Bowles, an American businessman and former White House Chief of Staff.
-
D.
Bowles
Bowles is the middle name of Lester B. Pearson, the Canadian diplomat and prime minister who won the Nobel Peace Prize.
-
E.
Boilermakers
Boilermakers is the nickname for Purdue University's athletic teams and, more broadly, a moniker for the university’s students and alumni.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650d304481908ad9bff3eadf7da6 |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9a476448190b072361fe4b41537 |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adab05cf6c81909f4713664f508ad9 |
completed | March 8, 2026, 4:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adaeb20390819098bad8951ec00d00 |
completed | March 8, 2026, 5:15 p.m. |
Created at: March 4, 2026, 7:31 p.m.