Triple

T24657670

Position	Surface form	Disambiguated ID	Type / Status
Subject	S&P 1500 Value	`E610437`	entity
Predicate	stylePair	`P157163`	FINISHED
Object	S&P 1500 Growth S&P 1500 Growth is a U.S. stock market index that tracks the growth-oriented subset of companies within the broader S&P 1500, focusing on firms with higher earnings and revenue growth characteristics.	`E1644032`	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: S&P 1500 Growth | Statement: [S&P 1500 Value, stylePair, S&P 1500 Growth]

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: S&P 1500 Growth
Triple: [S&P 1500 Value, stylePair, S&P 1500 Growth]

Generated description

S&P 1500 Growth is a U.S. stock market index that tracks the growth-oriented subset of companies within the broader S&P 1500, focusing on firms with higher earnings and revenue growth characteristics.

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

Target predicate: stylePair
Context triple: [S&P 1500 Value, stylePair, S&P 1500 Growth]

A. styleCombination
Indicates a relationship where multiple styles are combined or coordinated to form a unified stylistic configuration or presentation.
B. styleFor
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
C. styleTendsTo
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
D. styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
E. styleHeldBy
Indicates that a particular style, design, or aesthetic is possessed, used, or embodied by a specific entity.
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_69e2c4d453248190a020354e93ef6282`	completed	April 17, 2026, 11:40 p.m.
NER	Named-entity recognition	`batch_69f422aee0408190899efe7e24ef2b40`	completed	May 1, 2026, 3:49 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10049e62b48190a0e9cf4c0c8130c2`	completed	May 22, 2026, 7:24 a.m.
NEDg	Description generation	`batch_6a100640e64081909c54d3a2761007fb`	completed	May 22, 2026, 7:31 a.m.
NED2	Entity disambiguation (via description)	`batch_6a1006c065cc81908af8ae63739b4c37`	completed	May 22, 2026, 7:33 a.m.
PD	Predicate disambiguation	`batch_69f420e92cc88190a803aecdae78a051`	completed	May 1, 2026, 3:41 a.m.
PDg	Predicate description generation	`batch_69f422add8508190a76e56cfa756eeb8`	completed	May 1, 2026, 3:49 a.m.

Created at: April 18, 2026, 2:34 a.m.