Triple
T26876414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBS |
E676762
|
entity |
| Predicate | workplaceOfCharacter |
P76778
|
FINISHED |
| Object | Danny Tripp |
—
|
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: Danny Tripp | Statement: [NBS, workplaceOfCharacter, Danny Tripp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workplaceOfCharacter Context triple: [NBS, workplaceOfCharacter, Danny Tripp]
-
A.
workLocationOfFictionalCharacter
chosen
Indicates the place or organization where a fictional character is depicted as working within their narrative context.
-
B.
workAt
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
-
C.
locationOfWork
Indicates the place or site where an entity performs its work or carries out its professional activities.
-
D.
worksNear
Indicates that one entity performs its work or duties in close physical proximity to another entity.
-
E.
workCharacter
Indicates that a person is a fictional or narrative character appearing in a particular creative work.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 5:36 a.m.