Triple
T31114105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buddha (in Manimekalai) |
E793033
|
entity |
| Predicate | ethicalIdealFor |
P101571
|
FINISHED |
| Object | Manimekalai (heroine) |
—
|
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: Manimekalai (heroine) | Statement: [Buddha (in Manimekalai), ethicalIdealFor, Manimekalai (heroine)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalIdealFor Context triple: [Buddha (in Manimekalai), ethicalIdealFor, Manimekalai (heroine)]
-
A.
hasEthicalIdeal
chosen
Indicates that an entity upholds or is guided by a particular ethical standard, principle, or ideal.
-
B.
moralCriterion
Indicates that something is being evaluated or classified according to a standard of moral judgment or ethical rightness.
-
C.
moralAim
Indicates that an entity’s actions, intentions, or policies are directed toward achieving a morally good or ethically justified outcome.
-
D.
moralConcept
Indicates that one entity represents or embodies a moral or ethical concept in relation to another.
-
E.
ethicsAssessment
Indicates that an entity has been evaluated or judged according to ethical principles, standards, or guidelines.
- 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_69f224d0a7688190af3fe3e6e26d01ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:04 p.m.