Triple

T24058077
Position Surface form Disambiguated ID Type / Status
Subject Malinda Maynor Lowery E595863 entity
Predicate hasMadeFilm P154699 FINISHED
Object In the Light of Reverence
In the Light of Reverence is a documentary film that explores the spiritual and cultural significance of sacred Native American landscapes and the conflicts surrounding their protection.
 E1618028 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: In the Light of Reverence | Statement: [Malinda Maynor Lowery, hasMadeFilm, In the Light of Reverence]
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: In the Light of Reverence
Triple: [Malinda Maynor Lowery, hasMadeFilm, In the Light of Reverence]
Generated description
In the Light of Reverence is a documentary film that explores the spiritual and cultural significance of sacred Native American landscapes and the conflicts surrounding their protection.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMadeFilm
Context triple: [Malinda Maynor Lowery, hasMadeFilm, In the Light of Reverence]
  • A. hasNotableFilm
    Indicates that an entity is associated with a film that is considered significant, well-known, or particularly noteworthy.
  • B. hasLiveActionFilm
    Indicates that a subject has a corresponding live-action film adaptation or representation.
  • C. hasDirectedFeatureFilm
    Indicates that a person has directed a particular feature-length film.
  • D. hasFirstFilm
    Indicates the specific film that is recognized as the first film associated with an entity (such as a person, series, or franchise).
  • E. hasFilmCareer
    Indicates that an entity has been professionally involved in the film industry as a career.
  • 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_69e288c184b081909f1f1751fb8e299a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1da52b9d48190b503fad5ff70e4c6 completed April 29, 2026, 10:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f965e5770819087b62a389b1e0561 completed May 21, 2026, 11:33 p.m.
NEDg Description generation batch_6a0f9802d1bc8190b3f47810e29ef246 completed May 21, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_6a0f992af65c819085d30795965384cb completed May 21, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69f1764b1d4c8190b12590c6339c31c1 completed April 29, 2026, 3:08 a.m.
PDg Predicate description generation batch_69f1785afe3c81909be28986ffe944bf completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 10:35 p.m.