Triple
T29239014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Can I Go On |
E741267
|
entity |
| Predicate | chronologicallyRelatedWork |
P147585
|
FINISHED |
| Object | Barcelona (song) |
—
|
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: Barcelona (song) | Statement: [How Can I Go On, chronologicallyRelatedWork, Barcelona (song)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicallyRelatedWork Context triple: [How Can I Go On, chronologicallyRelatedWork, Barcelona (song)]
-
A.
chronologyPreviousWorkOf
chosen
Indicates that one work temporally precedes and is part of the earlier sequence in the overall body of another work.
-
B.
relatedToAuthorWork
Indicates that there is a connection or association between an author and a work they have created, contributed to, or are otherwise linked with.
-
C.
hasRelationToOtherWork
Indicates that one work bears a specified relationship (such as adaptation, sequel, reference, or influence) to another distinct work.
-
D.
chronologicallyInvolvedIn
Indicates that an entity participates in or is associated with an event, process, or activity during a specific time period in a chronological sequence.
-
E.
chronologicallyDistinctFrom
Indicates that two events or time-related entities occur at different, non-overlapping points in time.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 28, 2026, 12:30 p.m.