Triple
T10542886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaffer Smith |
E248739
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Libra Scale |
E587304
|
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: Libra Scale | Statement: [Shaffer Smith, notableWork, Libra Scale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libra Scale Context triple: [Shaffer Smith, notableWork, Libra Scale]
-
A.
Libra Scale
chosen
"Libra Scale" is a concept-driven R&B album by Ne-Yo that blends futuristic storytelling with themes of love, fame, and moral choice.
-
B.
Tip the Scale
"Tip the Scale" is a track from The Roots' critically acclaimed concept album *Undun*, contributing to the record's narrative of a man's rise and fall.
-
C.
Weighing Goods
Weighing Goods is a philosophical work by John Broome that examines how to compare and aggregate different kinds of values, such as welfare and fairness, in rational decision-making.
-
D.
Gravity Bar
Gravity Bar is the panoramic rooftop bar at the Guinness Storehouse in Dublin, renowned for its 360-degree city views and pints of Guinness.
-
E.
Abacus
Abacus is a British publishing imprint known for releasing a wide range of literary and contemporary fiction, often in paperback editions.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5190f46d08190a92b1191881ffb92 |
completed | April 7, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9342e6cf48190b0ca53ff2a4e0214 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:32 p.m.