Triple
T3521829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3-month U.S. dollar LIBOR |
E74439
|
entity |
| Predicate | tenor |
P48132
|
FINISHED |
| Object | 3 months |
—
|
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: 3 months | Statement: [3-month U.S. dollar LIBOR, tenor, 3 months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenor Context triple: [3-month U.S. dollar LIBOR, tenor, 3 months]
-
A.
voiceType
Indicates the specific vocal style, quality, or role associated with an entity’s voice in a given context.
-
B.
vocalRange
Indicates the span of pitches or notes that an entity (such as a singer or instrument) is capable of producing.
-
C.
hasNotableVocalType
Indicates that an entity is associated with a specific, noteworthy type or quality of vocalization or voice.
-
D.
primaryVocalist
Indicates that the subject is the main singer or lead vocal performer for the object (such as a song, track, or musical work).
-
E.
principalConductor
Indicates that one entity serves as the main or lead conductor for another entity, typically an orchestra or musical ensemble.
- F. None of above. chosen
Provenance (4 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc4dd6d48190a5a3f4b86c82b86c |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed7f2ec819085467d281712e0e8 |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:19 p.m.