Triple
T28053283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Jack’s – Restaurant des Pirates |
E708884
|
entity |
| Predicate | hasCharacterAssociation |
P2830
|
FINISHED |
| Object | Captain Jack Sparrow |
—
|
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: Captain Jack Sparrow | Statement: [Captain Jack’s – Restaurant des Pirates, hasCharacterAssociation, Captain Jack Sparrow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCharacterAssociation Context triple: [Captain Jack’s – Restaurant des Pirates, hasCharacterAssociation, Captain Jack Sparrow]
-
A.
associatedWithCharacterGroup
Indicates that an entity has a connection or affiliation with a particular group of characters.
-
B.
associatedWithCharacterAlias
Indicates that one entity is linked to or connected with an alternative name or alias used for a particular character.
-
C.
associatedWithCharacterFamily
Indicates a relationship where something is linked or connected to a particular character’s family.
-
D.
containsAssignedCharacters
Indicates that an entity includes or holds one or more characters that have been specifically assigned to it.
-
E.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 27, 2026, 8:34 p.m.