Triple
T18044159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fama–French three-factor model |
E431728
|
entity |
| Predicate | HMLDefinition |
P2185
|
FINISHED |
| Object | High Minus Low, return of high book-to-market stocks minus low book-to-market stocks |
—
|
LITERAL FINISHED |
How this triple was built (2 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: High Minus Low, return of high book-to-market stocks minus low book-to-market stocks | Statement: [Fama–French three-factor model, HMLDefinition, High Minus Low, return of high book-to-market stocks minus low book-to-market stocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HMLDefinition Context triple: [Fama–French three-factor model, HMLDefinition, High Minus Low, return of high book-to-market stocks minus low book-to-market stocks]
-
A.
holeDefinition
Indicates that one entity specifies or characterizes the nature, boundaries, or properties of a hole associated with another entity.
-
B.
coreDefinition
Indicates the fundamental, central meaning or essence that defines something at its most basic level.
-
C.
LpDefinition
Indicates that one entity serves as the formal definition or precise specification of another entity within a logical or mathematical context.
-
D.
hasDefinition
chosen
Indicates that one entity provides the meaning, explanation, or definition of another entity.
-
E.
hasSemanticsDefinedBy
Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
- F. None of above.
Provenance (3 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff13f488190993445769551c9c2 |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.