Triple
T12115731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amanda Abbington |
E288554
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Cuffs |
E965726
|
NE FINISHED |
How this triple was built (2 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: Cuffs | Statement: [Amanda Abbington, workedOn, Cuffs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuffs Context triple: [Amanda Abbington, workedOn, Cuffs]
-
A.
Cuffs
chosen
Cuffs is a British television police drama series that follows the professional and personal lives of frontline officers in Brighton.
-
B.
Cuff It
"Cuff It" is a disco- and funk-inspired R&B song by Beyoncé from her 2022 album "Renaissance," celebrated for its upbeat groove and feel-good party vibe.
-
C.
Scarf
Scarf is a long piece of fabric worn around the neck, head, or shoulders for warmth, sun protection, cleanliness, fashion, or religious reasons.
-
D.
Garter
The Garter is a prestigious emblem associated with the Order of the Garter, one of the highest orders of chivalry in the United Kingdom, traditionally worn by royal knights and ladies.
-
E.
Pockets
Pockets is a music producer known for contributing to Mos Def’s influential hip-hop album "Black on Both Sides."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.