Triple
T2307584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keturah |
E51875
|
entity |
| Predicate | nameMeaningTraditionallyGivenAs |
P24069
|
FINISHED |
| Object | incense |
—
|
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: incense | Statement: [Keturah, nameMeaningTraditionallyGivenAs, incense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameMeaningTraditionallyGivenAs Context triple: [Keturah, nameMeaningTraditionallyGivenAs, incense]
-
A.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
B.
hasGivenNameMeaning
chosen
Indicates that a given name carries a particular meaning or semantic interpretation.
-
C.
codeNameMeaning
Indicates that one entity is the meaning, interpretation, or significance associated with another entity’s code name.
-
D.
heroNameMeaning
Indicates that a hero’s name has a particular meaning, interpretation, or etymological significance.
-
E.
nameMeaningInArabic
Indicates that the predicate specifies the meaning or interpretation of a name when expressed in the Arabic language.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abce1f4f0c8190a714e4dcb8449f7e |
completed | March 7, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69abc58ce2a081908ce2f0cadd92e9f8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.