Triple
T14409657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes & Villains |
E357289
|
entity |
| Predicate | firstWeekUnits |
P19248
|
FINISHED |
| Object | 185000 album-equivalent units |
—
|
LITERAL 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: 185000 album-equivalent units | Statement: [Heroes & Villains, firstWeekUnits, 185000 album-equivalent units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWeekUnits Context triple: [Heroes & Villains, firstWeekUnits, 185000 album-equivalent units]
-
A.
firstUnitsClosed
Indicates that the initial set of units in a sequence, batch, or process has been completed or closed.
-
B.
firstUnitName
Indicates the name assigned to the first unit in a sequence, structure, or grouping.
-
C.
numberOfUnits
chosen
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
D.
firstQuarter
Indicates that an event, state, or condition occurs during the first quarter of a defined time period (such as a year or fiscal year).
-
E.
firstTerms
Indicates that the related entities are the initial elements or starting terms in a sequence, series, or ordered collection.
- F. None of above.
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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c9b3448190aec1608836a5e913 |
completed | April 14, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69de2aa1b57881909a033eac8545c417 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:17 a.m.