Triple
T14893488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Aaron’s 700th home run |
E359809
|
entity |
| Predicate | madeHim |
P116555
|
FINISHED |
| Object | second player to reach 700 career home runs in MLB history |
—
|
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: second player to reach 700 career home runs in MLB history | Statement: [Hank Aaron’s 700th home run, madeHim, second player to reach 700 career home runs in MLB history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeHim Context triple: [Hank Aaron’s 700th home run, madeHim, second player to reach 700 career home runs in MLB history]
-
A.
madeBy
Indicates that something is created, produced, or brought into existence by a particular agent or source.
-
B.
hasMade
Indicates that an entity has created, produced, or brought about another entity or outcome.
-
C.
madeWith
Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
-
D.
usesMake
Indicates that one entity employs, applies, or utilizes another entity as a means, tool, or method to achieve some purpose.
-
E.
madeAt
Indicates the specific place or time at which something was created, produced, or manufactured.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f9d10c819091732d7a5a42a682 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:10 a.m.