Triple
T5753311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11 – Jim Fregosi |
E126903
|
entity |
| Predicate | jerseyStatus |
P66179
|
FINISHED |
| Object | retired |
—
|
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: retired | Statement: [11 – Jim Fregosi, jerseyStatus, retired]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyStatus Context triple: [11 – Jim Fregosi, jerseyStatus, retired]
-
A.
seeksStatusAs
Indicates that one entity is attempting to obtain or be recognized with a particular status, role, or standing in relation to another entity.
-
B.
landerStatus
Indicates the current operational or situational state of a lander in its mission lifecycle.
-
C.
seeStatus
Indicates that one entity observes or becomes aware of the current state or condition of another entity or process.
-
D.
peakStatus
Indicates the condition or phase of something at its highest or most intense point in its progression or lifecycle.
-
E.
regionStatus
Indicates the current condition, classification, or operational state assigned to a specific geographic or administrative region.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029032ba08190ae4062d74ab271ee |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021cc68648190bb86d049ebe80f12 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028fec2bc819083f5dca6a8d9d435 |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:48 p.m.