Triple
T4452213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L |
E97637
|
entity |
| Predicate | hasInnerLifeDescribedAs |
P976
|
FINISHED |
| Object | rich |
—
|
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: rich | Statement: [L, hasInnerLifeDescribedAs, rich]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInnerLifeDescribedAs Context triple: [L, hasInnerLifeDescribedAs, rich]
-
A.
hasAutobiographicalElements
Indicates that something, such as a work or narrative, contains elements drawn from the creator’s own life or personal experiences.
-
B.
hasPartInBiography
Indicates that a person or entity is featured or plays a role within someone’s biographical account.
-
C.
lifeDetails
Indicates that additional information or specific aspects about an entity’s life (such as background, experiences, or personal history) are being described.
-
D.
describedByAuthorAs
chosen
Indicates that one entity is characterized, labeled, or portrayed in a particular way by an author.
-
E.
isFrequentlyDescribedAs
Indicates that something is often characterized or referred to using a particular description or set of attributes.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f3731c81909cc5a782b12ddd38 |
completed | March 13, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:33 p.m.