Triple
T2858898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Gibson |
E63269
|
entity |
| Predicate | eraTitle |
P43703
|
FINISHED |
| Object | Earned run average leader |
—
|
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: Earned run average leader | Statement: [Bob Gibson, eraTitle, Earned run average leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraTitle Context triple: [Bob Gibson, eraTitle, Earned run average leader]
-
A.
era
Indicates that something existed, occurred, or was valid during a specified historical or temporal period.
-
B.
eraCharacter
Indicates that a character is associated with, or belongs to, a particular historical or fictional era.
-
C.
titleInEmpire
Indicates that an entity holds or is associated with a specific official title within an empire.
-
D.
hadTitle
Indicates that an entity held or was assigned a specific title or formal designation.
-
E.
UKTitle
Indicates that an entity holds a specific title or name as used in the United Kingdom context.
- 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_69ab4c41e8c08190a9e8f5249cc12610 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf89d3b4819086936f26d8683a2a |
completed | March 7, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdee94c2081908e5075e87e70780a |
completed | March 7, 2026, 8:16 a.m. |
Created at: March 6, 2026, 10:02 p.m.