Triple
T4374682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. Henry & Company |
E98975
|
entity |
| Predicate | tradingApproach |
P56458
|
FINISHED |
| Object | systematic |
—
|
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: systematic | Statement: [John W. Henry & Company, tradingApproach, systematic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradingApproach Context triple: [John W. Henry & Company, tradingApproach, systematic]
-
A.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
B.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
C.
tradingNation
Indicates that one entity is recognized as a significant trade partner or participant in international commerce with another entity.
-
D.
tradesInstrument
Indicates that one party engages in buying, selling, or exchanging a specified financial or tradable instrument.
-
E.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352222df48190bead639e99635faf |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:18 p.m.