Triple

T23752368

Position	Surface form	Disambiguated ID	Type / Status
Subject	Gospel of Luke 23:38	`E587003`	entity
Predicate	verseAfter	`P153556`	FINISHED
Object	Gospel of Luke 23:39 Gospel of Luke 23:39 is a New Testament verse recounting how one of the criminals crucified alongside Jesus mocked him, challenging him to save himself and them.	`E1602733`	NE FINISHED

How this triple was built (3 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: Gospel of Luke 23:39 | Statement: [Gospel of Luke 23:38, verseAfter, Gospel of Luke 23:39]

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: Gospel of Luke 23:39
Triple: [Gospel of Luke 23:38, verseAfter, Gospel of Luke 23:39]

Generated description

Gospel of Luke 23:39 is a New Testament verse recounting how one of the criminals crucified alongside Jesus mocked him, challenging him to save himself and them.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: verseAfter
Context triple: [Gospel of Luke 23:38, verseAfter, Gospel of Luke 23:39]

A. verse
Indicates that one entity is in opposition or conflict against another, as in a competitive or adversarial relationship.
B. verse3
Indicates a relationship where one entity is the third verse or stanza associated with another entity, such as a song, poem, or scripture passage.
C. verse2
Indicates that one entity is the second verse or stanza associated with another entity, typically within a structured text like a song, poem, or scripture.
D. verses
Indicates a relationship where one entity competes or is pitted against another, as in an opposition, matchup, or comparison.
E. verseNumber
Indicates the specific numbered position of a verse within an ordered sequence, such as in a chapter, song, or poem.
F. None of above. chosen

Provenance (7 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_69e2490a0eec81908cdef8a862828d7a`	completed	April 17, 2026, 2:51 p.m.
NER	Named-entity recognition	`batch_69f1bcc3a06c81908e8a6e1f531c73bc`	completed	April 29, 2026, 8:09 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0f53d4777881908831202e5d04d114`	completed	May 21, 2026, 6:49 p.m.
NEDg	Description generation	`batch_6a0f584a55748190ac99a15134b2d755`	completed	May 21, 2026, 7:08 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0f58be2c44819085064c63d07e6906`	completed	May 21, 2026, 7:10 p.m.
PD	Predicate disambiguation	`batch_69f155f012808190a4b1cbc155558ade`	completed	April 29, 2026, 12:50 a.m.
PDg	Predicate description generation	`batch_69f15adb23d88190ac2632299c26a9b3`	completed	April 29, 2026, 1:11 a.m.

Created at: April 17, 2026, 7:13 p.m.