Triple
T20389588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallulah Willis |
E498048
|
entity |
| Predicate | hasDiscussed |
P3281
|
FINISHED |
| Object | family life in public interviews |
—
|
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: family life in public interviews | Statement: [Tallulah Willis, hasDiscussed, family life in public interviews]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiscussed Context triple: [Tallulah Willis, hasDiscussed, family life in public interviews]
-
A.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
B.
discussedAs
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
C.
hasSpokenAbout
chosen
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
hasDiscussionSystem
Indicates that an entity is equipped with or supports a system for facilitating discussions or conversations.
-
E.
hasRelationshipDiscussion
Indicates that there is a conversation or exchange specifically about the nature, status, or issues of a relationship between the entities.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:28 a.m.