Triple
T36572518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan B. Shepard Jr. |
E902156
|
entity |
| Predicate | firstInRank |
P21887
|
FINISHED |
| Object | first American in space |
—
|
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: first American in space | Statement: [Alan B. Shepard Jr., firstInRank, first American in space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstInRank Context triple: [Alan B. Shepard Jr., firstInRank, first American in space]
-
A.
highestRankIn
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
B.
rankAtOpening
Indicates the position or level an entity holds within an ordered ranking at the initial or starting point of a specified period or event.
-
C.
rankIn
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
D.
firstToAchieve
chosen
Indicates that one entity was the earliest or initial entity to accomplish or attain a specified goal, status, or outcome before any others.
-
E.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:11 p.m.