Triple
T20389567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallulah Willis |
E498048
|
entity |
| Predicate | hasPublicStruggledWith |
P36801
|
FINISHED |
| Object | body image issues |
—
|
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: body image issues | Statement: [Tallulah Willis, hasPublicStruggledWith, body image issues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicStruggledWith Context triple: [Tallulah Willis, hasPublicStruggledWith, body image issues]
-
A.
hasTragicPast
Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
-
B.
hasBeenChallengedIn
Indicates that an entity has faced a challenge, contest, or dispute within a specified context, domain, or setting.
-
C.
hasHistoryOf
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
D.
notableStruggles
chosen
Indicates that the subject has faced significant challenges, difficulties, or adversities that are especially noteworthy or defining.
-
E.
hasDifficultyWith
Indicates that one entity experiences problems, challenges, or lack of proficiency in dealing with, understanding, or performing something related to another entity.
- 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.