Triple
T32728034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elsie |
E836868
|
entity |
| Predicate | isFirstFullLengthBy |
P174847
|
FINISHED |
| Object | The Horrible Crowes |
—
|
NE NERFINISHED |
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: The Horrible Crowes | Statement: [Elsie, isFirstFullLengthBy, The Horrible Crowes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstFullLengthBy Context triple: [Elsie, isFirstFullLengthBy, The Horrible Crowes]
-
A.
isFirstFullyAutomaticLineIn
Indicates that something is the first fully automatic production or processing line located within a specified context or place.
-
B.
isFirstSingleFrom
Indicates that one musical work is the first single released from another work, typically an album or larger recording project.
-
C.
hasFullLengthVersion
Indicates that an entity has a corresponding complete or unabridged version of itself or its content.
-
D.
isFirstToInclude
Indicates that an entity is the earliest or original one to incorporate or contain another specified entity, feature, or element.
-
E.
wasFirstOf
Indicates that the subject is the earliest or initial instance in a series, sequence, or group of similar entities or events.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c8b953348190bc38ddc49fdd7571 |
completed | May 3, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c77500a08190b2bdeca33bd2ac08 |
completed | May 3, 2026, 3:56 a.m. |
Created at: May 1, 2026, 1:11 a.m.