Triple

T32309818

Position	Surface form	Disambiguated ID	Type / Status
Subject	Nick Lang	`E825465`	entity
Predicate	shadows	`P51692`	FINISHED
Object	John Moss John Moss is a tough, no-nonsense New York City police detective portrayed by James Woods in the action-comedy film "The Hard Way."	`E825466`	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: John Moss | Statement: [Nick Lang, shadows, John Moss]

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: John Moss
Triple: [Nick Lang, shadows, John Moss]

Generated description

John Moss is a tough, no-nonsense New York City police detective portrayed by James Woods in the action-comedy film "The Hard Way."

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

Target predicate: shadows
Context triple: [Nick Lang, shadows, John Moss]

A. canCastShadows
Indicates that an entity has the ability to block light such that it produces a visible shadow.
B. isShadowOf
Indicates that one entity is the cast or projected shadow produced by another entity under some light source.
C. shaded chosen
Indicates that one entity partially or fully blocks light from reaching another, resulting in the latter being in shadow.
D. shadowRepresents
Indicates that one entity serves as the shadow or silhouette that visually corresponds to, or is cast by, another entity.
E. shadeCount
Indicates the number of distinct shades or tonal variations associated with an entity.
F. None of above.

Provenance (6 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_69f3491213b88190a57094d8697a7455`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_69f6bdb69574819082ba3ff1072d8301`	completed	May 3, 2026, 3:15 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34703daedc8190a57e9225fbdd1ec4`	completed	June 18, 2026, 10:25 p.m.
NEDg	Description generation	`batch_6a347215d4b881909c3079cb6961de60`	completed	June 18, 2026, 10:32 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3472763f748190adc26a4621f7352c`	completed	June 18, 2026, 10:34 p.m.
PD	Predicate disambiguation	`batch_69f6b632cf788190a3d0c08cd026b84b`	completed	May 3, 2026, 2:42 a.m.

Created at: May 1, 2026, 12:45 a.m.