Triple
T11967544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitless Wonders |
E284827
|
entity |
| Predicate | offensiveCharacteristic |
P102554
|
FINISHED |
| Object | low team batting average |
—
|
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: low team batting average | Statement: [Hitless Wonders, offensiveCharacteristic, low team batting average]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offensiveCharacteristic Context triple: [Hitless Wonders, offensiveCharacteristic, low team batting average]
-
A.
offensiveStrategy
Indicates a strategic approach focused on attacking or aggressively advancing against an opponent.
-
B.
offense
Indicates that one entity commits, causes, or is responsible for a violation, wrongdoing, or rule-breaking act against another entity or governing norms.
-
C.
offensiveFollowed
Indicates that one entity follows another in a manner perceived as offensive, hostile, or harassing.
-
D.
offenseNicknamed
Indicates that an offensive unit, team, or strategy is commonly referred to by a particular nickname.
-
E.
defensiveLineCharacteristic
Indicates a characteristic or attribute that describes the nature, style, or qualities of a defensive line in a competitive or strategic 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.