Triple
T34186437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Hendricks |
E876973
|
entity |
| Predicate | tacklesForSafeties |
P178500
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Ted Hendricks, tacklesForSafeties, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tacklesForSafeties Context triple: [Ted Hendricks, tacklesForSafeties, 4]
-
A.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
-
B.
fumbleReturnTouchdowns
Indicates the number of touchdowns a player or team scores by recovering an opponent’s fumble and returning it to the end zone.
-
C.
RavensDefensiveTouchdowns
Indicates the number of touchdowns scored by the Ravens’ defense, typically by returning interceptions, fumbles, or blocked kicks for a score.
-
D.
touchdownPoints
Indicates the number of points awarded to a team for successfully scoring a touchdown in a game.
-
E.
scoredTouchdownIn
Indicates that an entity successfully achieved a touchdown during a specified game or event.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.