Triple

T28275004

Position	Surface form	Disambiguated ID	Type / Status
Subject	Toni Simmons	`E712962`	entity
Predicate	hasRomanticInvolvementInPlotWith	`P176284`	FINISHED
Object	Igor Sullivan Igor Sullivan is a fictional character who becomes romantically involved with Toni Simmons in the plot of the 1969 romantic comedy film "Cactus Flower."	`E1810617`	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: Igor Sullivan | Statement: [Toni Simmons, hasRomanticInvolvementInPlotWith, Igor Sullivan]

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: Igor Sullivan
Triple: [Toni Simmons, hasRomanticInvolvementInPlotWith, Igor Sullivan]

Generated description

Igor Sullivan is a fictional character who becomes romantically involved with Toni Simmons in the plot of the 1969 romantic comedy film "Cactus Flower."

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

Target predicate: hasRomanticInvolvementInPlotWith
Context triple: [Toni Simmons, hasRomanticInvolvementInPlotWith, Igor Sullivan]

A. hasRomanticTensionWith
Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
B. hasRomanticEntanglementInPlot chosen
Indicates that a romantic relationship or involvement between characters is a significant element within the narrative plot.
C. isRomanticLeadOf
Indicates that one entity serves as the primary romantic partner or love-interest counterpart to another entity within a narrative or story.
D. romanticPartnerInSeries
Indicates that one character is portrayed as a romantic partner of another character within the context of a specific series or narrative.
E. literaryRelationship
Indicates a relationship between entities that are connected through literature, such as authorship, influence, adaptation, or other text-based associations.
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_69efb52275788190ae5181ccebef18ce`	completed	April 27, 2026, 7:12 p.m.
NER	Named-entity recognition	`batch_69f74c70fd248190a9d5543afcb08211`	completed	May 3, 2026, 1:24 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a160722251881908fb228aa2ef9bc5a`	completed	May 26, 2026, 8:48 p.m.
NEDg	Description generation	`batch_6a1614735c648190a74851ad2b0564f5`	completed	May 26, 2026, 9:45 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1614cb21988190bd44a405d0628062`	completed	May 26, 2026, 9:46 p.m.
PD	Predicate disambiguation	`batch_69f7478e3b548190a51d5d436e2bb036`	completed	May 3, 2026, 1:03 p.m.

Created at: April 27, 2026, 11:19 p.m.