Triple
T589357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Steinbrenner |
E17232
|
entity |
| Predicate | dateOfTeamAcquisition |
P2754
|
FINISHED |
| Object | 1973-01-03 |
—
|
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: 1973-01-03 | Statement: [George Steinbrenner, dateOfTeamAcquisition, 1973-01-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfTeamAcquisition Context triple: [George Steinbrenner, dateOfTeamAcquisition, 1973-01-03]
-
A.
acquiredSportsTeam
Indicates that one entity has purchased and taken ownership of a sports team from another party.
-
B.
team1Established
Indicates that the first team in a given context has been founded or formally established.
-
C.
acquisitionDate
chosen
Indicates the date on which one entity formally acquires or takes ownership of another entity.
-
D.
departmentFormed
Indicates that a specific department has been created or established, often at a particular time or under certain conditions.
-
E.
team2Established
Indicates that a second team (team2) has been formally created or founded at a specific point in time.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bb775fc819085b968f8615dca59 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.