Triple
T3075259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steel Curtain defense of the 1970s |
E64119
|
entity |
| Predicate | sideOfBall |
P44288
|
FINISHED |
| Object | defense |
—
|
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: defense | Statement: [Steel Curtain defense of the 1970s, sideOfBall, defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideOfBall Context triple: [Steel Curtain defense of the 1970s, sideOfBall, defense]
-
A.
sideOfBallCoached
Indicates which side or unit of a ball (e.g., offense, defense, special teams) a coach is responsible for.
-
B.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
C.
fieldSide
Indicates the relative side or position of something with respect to a defined field or playing area.
-
D.
ballCondition
Indicates the specific state or status a ball is in, such as its physical condition, readiness for use, or compliance with required standards.
-
E.
batsFromSide
Indicates that one entity performs a batting action from a specified side or orientation (e.g., left-handed or right-handed).
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada150d8e08190bde5f68e800e8feb |
completed | March 8, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69ad9625b30c819099ef9349c91d7b25 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.