Triple
T157730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Septuagint |
E3214
|
entity |
| Predicate | includesDeuterocanonicalBook |
P977
|
FINISHED |
| Object |
Judith
Judith is a deuterocanonical book of the Bible that tells the story of a courageous Jewish widow who saves her people by beheading the Assyrian general Holofernes.
|
E19393
|
NE FINISHED |
How this triple was built (4 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: Judith | Statement: [Septuagint, includesDeuterocanonicalBook, Judith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judith Context triple: [Septuagint, includesDeuterocanonicalBook, Judith]
-
A.
Claudia
Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
D.
Queen of Heaven
Queen of Heaven is a traditional Christian title that honors the Virgin Mary as the exalted mother of Jesus and the most highly revered woman in heaven.
-
E.
Sarah Good
Sarah Good was one of the first women accused and executed for witchcraft during the 1692 Salem witch trials in colonial Massachusetts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Judith Triple: [Septuagint, includesDeuterocanonicalBook, Judith]
Generated description
Judith is a deuterocanonical book of the Bible that tells the story of a courageous Jewish widow who saves her people by beheading the Assyrian general Holofernes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Judith Target entity description: Judith is a deuterocanonical book of the Bible that tells the story of a courageous Jewish widow who saves her people by beheading the Assyrian general Holofernes.
-
A.
Claudia
Claudia is a feminine given name used in various cultures, derived from the ancient Roman family name Claudius.
-
B.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
C.
Louise
Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
-
D.
Queen of Heaven
Queen of Heaven is a traditional Christian title that honors the Virgin Mary as the exalted mother of Jesus and the most highly revered woman in heaven.
-
E.
Sarah Good
Sarah Good was one of the first women accused and executed for witchcraft during the 1692 Salem witch trials in colonial Massachusetts.
- F. None of above. chosen
Provenance (5 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25bac998c819099f2bed899220a78 |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2d0c68468819089f1ebdb4ff46a0c |
completed | Feb. 28, 2026, 11:25 a.m. |
| NEDg | Description generation | batch_69a2d16a37c48190ba4f452772407852 |
completed | Feb. 28, 2026, 11:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2d1e0c6d08190a3c78feec70a173b |
completed | Feb. 28, 2026, 11:30 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.