Triple
T14893495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hank Aaron’s 700th home run |
E359809
|
entity |
| Predicate | typeOfMilestone |
P116556
|
FINISHED |
| Object | career total milestone |
—
|
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: career total milestone | Statement: [Hank Aaron’s 700th home run, typeOfMilestone, career total milestone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMilestone Context triple: [Hank Aaron’s 700th home run, typeOfMilestone, career total milestone]
-
A.
hitsMilestone
Indicates that an entity reaches or achieves a predefined milestone or target in a process, project, or progression.
-
B.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
C.
coachMilestone
Indicates that a coach has reached or achieved a specific milestone or notable point in their coaching career or tenure.
-
D.
marketingMilestone
Indicates a significant event or achievement within a marketing effort that marks progress toward marketing goals or phases.
-
E.
typeOfMission
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
- 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.