Triple
T2256007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo Crennel |
E49724
|
entity |
| Predicate | defensiveSpecialty |
P13663
|
FINISHED |
| Object | 3–4 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: 3–4 defense | Statement: [Romeo Crennel, defensiveSpecialty, 3–4 defense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defensiveSpecialty Context triple: [Romeo Crennel, defensiveSpecialty, 3–4 defense]
-
A.
defensiveRole
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
-
B.
defensiveStructure
Indicates a relationship where one entity functions as a structure built or used to protect, defend, or fortify another entity or area.
-
C.
defensiveTactics
chosen
Indicates the use or implementation of strategies, maneuvers, or methods intended to protect, guard, or defend against threats or attacks.
-
D.
defensivePlan
Indicates a relationship where an entity formulates or adopts a strategy specifically intended to protect against threats, attacks, or other adverse actions.
-
E.
defensiveLineTargeted
Indicates that a specific defensive line or its players are the intended focus of an offensive play, strategy, or action.
- 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1559ff481908efe3f214b2570dc |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.