Triple
T15363167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESL Investments |
E367339
|
entity |
| Predicate | associatedWithStrategy |
P118281
|
FINISHED |
| Object | buying undervalued or out-of-favor companies |
—
|
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: buying undervalued or out-of-favor companies | Statement: [ESL Investments, associatedWithStrategy, buying undervalued or out-of-favor companies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStrategy Context triple: [ESL Investments, associatedWithStrategy, buying undervalued or out-of-favor companies]
-
A.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
B.
associatedWithMatch
Indicates a relationship where an entity is linked or connected to a particular match or matching event.
-
C.
associatedWithModel
Indicates that one entity has a defined connection, linkage, or relationship with a particular model.
-
D.
associatedWithClass
Indicates that an entity has a connection or linkage to a particular class or category, without specifying the exact nature of that relationship.
-
E.
associatedWithCollection
Indicates that an entity has a relationship or linkage to a particular collection, such as being included in, managed by, or contextually grouped with that collection.
- F. None of above. chosen
Provenance (4 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e479f188190bbbc3dcd73853e02 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca9ab7e88190a9261ef27be665b1 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:18 a.m.