Triple
T28705563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Brother… Nikhil |
E729683
|
entity |
| Predicate | titleCharacterNationality |
P15237
|
FINISHED |
| Object | Indian |
—
|
LITERAL FINISHED |
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: Indian | Statement: [My Brother… Nikhil, titleCharacterNationality, Indian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterNationality Context triple: [My Brother… Nikhil, titleCharacterNationality, Indian]
-
A.
titleCharacterRealName
Indicates that a character known by a title or alias has the specified real (personal) name.
-
B.
titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
-
C.
nationalityInStory
chosen
Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
-
D.
titleHolderNationalityLink
Indicates a relationship that connects a title holder to the nationality associated with that title holder.
-
E.
regionCharacter
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
- 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 28, 2026, 5:45 a.m.