Triple
T462646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Theismann |
E7373
|
entity |
| Predicate | notableInjury |
P3816
|
FINISHED |
| Object | career-ending leg fracture on November 18, 1985 |
—
|
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: career-ending leg fracture on November 18, 1985 | Statement: [Joe Theismann, notableInjury, career-ending leg fracture on November 18, 1985]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInjury Context triple: [Joe Theismann, notableInjury, career-ending leg fracture on November 18, 1985]
-
A.
hasInjuries
chosen
Indicates that an entity has sustained one or more physical or bodily injuries.
-
B.
notableOutcome
Indicates that an action, event, or entity leads to or is associated with a significant, noteworthy result or consequence.
-
C.
notablePlay
Indicates that a particular play is especially famous, significant, or noteworthy in relation to the entity it is associated with.
-
D.
notableAttempt
Indicates that an entity made a significant or noteworthy effort to perform or achieve another entity or outcome.
-
E.
notableHole
Indicates that an entity has a hole or opening that is significant or noteworthy in some context.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efc09eac8190add4bb5823b53ba7 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2ede8eac081908dffade6a5e7950b |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.