Triple
T27756144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Bug |
E701336
|
entity |
| Predicate | authorAlleged |
P116978
|
FINISHED |
| Object | Onel de Guzman |
—
|
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: Onel de Guzman | Statement: [Love Bug, authorAlleged, Onel de Guzman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorAlleged Context triple: [Love Bug, authorAlleged, Onel de Guzman]
-
A.
allegedActor
Indicates that the subject is claimed or accused to be the actor responsible for a particular action or event, without confirming that the claim is true.
-
B.
purportedAuthors
chosen
Indicates that certain entities are claimed or alleged to be the authors of another entity, without asserting that the authorship is definitively verified.
-
C.
allegedSubject
Indicates that the referenced entity is claimed or accused to be the subject responsible for a particular action, event, or state, without confirming the truth of that claim.
-
D.
allegedAgentOf
Indicates that one entity is claimed or suspected, but not confirmed, to be the agent responsible for an action or event involving another entity.
-
E.
authorDescribedIn
Indicates that information about an author is provided or discussed within a particular document or source.
- 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 27, 2026, 4:23 p.m.